---
title: "ListHuggingFaceModels"
method: GET
path: "/v1/namespaces/{tenant_meta.namespace}/hugging-face-models"
tags: ["HuggingFaceModelService"]
---

# ListHuggingFaceModels

`GET /v1/namespaces/{tenant_meta.namespace}/hugging-face-models`

Lists all HuggingFace models in a given namespace.

## Path parameters

- `tenant_meta.namespace` string, required

## Query parameters

- `list_parameters.filter` string
- `list_parameters.page_token` integer
- `list_parameters.page_size` integer
- `list_parameters.action` string
- `list_parameters.mask` string
- `list_parameters.traverse` boolean
- `list_parameters.sort.path` string
- `list_parameters.sort.order` 'SORT_ENTRY_ORDER_UNSPECIFIED' | 'SORT_ENTRY_ORDER_ASC' | 'SORT_ENTRY_ORDER_DESC'
- `list_parameters.count` boolean
- `list_parameters.group.aggregation_paths` string
- `list_parameters.group.show_aggregation_uuids` boolean
- `list_parameters.group.unique_count_paths` string
- `list_parameters.group.unique_value_paths` string
- `list_parameters.ci_run_uuid` string
- `list_parameters.page_id` string
- `list_parameters.group_by_time.aggregation_paths` string
- `list_parameters.group_by_time.show_aggregation_uuids` boolean
- `list_parameters.group_by_time.interval` 'GROUP_BY_TIME_INTERVAL_UNSPECIFIED' | 'GROUP_BY_TIME_INTERVAL_YEAR' | 'GROUP_BY_TIME_INTERVAL_QUARTER' | 'GROUP_BY_TIME_INTERVAL_MONTH' | 'GROUP_BY_TIME_INTERVAL_WEEK' | 'GROUP_BY_TIME_INTERVAL_DAY' | 'GROUP_BY_TIME_INTERVAL_HOUR' | 'GROUP_BY_TIME_INTERVAL_MINUTE' | 'GROUP_BY_TIME_INTERVAL_SECOND'
- `list_parameters.group_by_time.group_size` integer
- `list_parameters.group_by_time.start_time` string, date-time
- `list_parameters.group_by_time.end_time` string, date-time
- `list_parameters.group_by_time.mode` string
- `list_parameters.group_by_time.aggregation_value_field` string
- `list_parameters.group_by_time.aggregation_operator` string
- `list_parameters.disable_pagination` boolean

## Response `200`

A successful response.

- V1ListHuggingFaceModelsResponse — Response to the request to list HuggingFace models.
  - `count_response` V1CountResponse — Response to a list count request.
    - `count` integer — Number of objects matching the given list parameters.
  - `group_response` V1GroupResponse — Response to a list group request.
    - `groups` object — Map indexed by values of the fields specified in aggregation_paths, for example, {"[{"key":"meta.kind","value":"Project"}]": { "aggregation_count": { "count": 1649 } } }.
  - `list` V1ListHuggingFaceModelsResponseList
    - `objects` V1HuggingFaceModel[]
      - `meta` V1Meta, required — Common fields for all Endor Labs resources.
        - `annotations` object — Annotations can be used to attach metadata to a resource message. Annotation values can be small or large, structured or unstructured, and may include characters not permitted by labels. The keys may contain alphanumerics, underscores (_), dots (.) and dashes (-). The values of an annotation must be 16384 bytes or smaller.
        - `create_time` string, date-time — Time the resource was created. Format: 2017-01-15T01:30:15.01Z RFC 3339: https://www.ietf.org/rfc/rfc3339.txt.
        - `created_by` string — Name and authentication source of the user who created the object, for example, ewok@endor.ai@google@api-key.
        - `description` string — Resource description. Must be less than 1024 bytes.
        - `index_data` V1IndexData — IndexData is used to index the resource for search. It's an internal object.
          - `data` string[]
          - `search_score` number, float — search_score is the score of the resource for search. Internal use only.
          - `tenant` string
          - `will_be_deleted_at` string, date-time — Time that the resource will be deleted.
        - `kind` string — Resource kind, for example, HelloResponse. Auto-generated using the protobuf message proto.MessageName().Name().
        - `name` string, required — Resource name. Must be 63 characters or less.
        - `parent_kind` string — Parent object resource kind, for example, Project.
        - `parent_uuid` string — Parent object UUID.
        - `references` object — Map of objects referenced in a query API.
        - `tags` string[] — List of tags attached to the resource. Tags can be used to select objects and to find collections of objects that satisfy certain conditions. A tag must be 255 characters or less.
        - `update_time` string, date-time — Time the resource was last updated. Note: Updated on all create/patch/delete operations. Format: 2017-01-15T01:30:15.01Z RFC 3339: https://www.ietf.org/rfc/rfc3339.txt.
        - `updated_by` string — Name and authentication source of the last user who updated the object, for example, vulnerabilityingestor@endor.ai@x509.
        - `upsert_time` string, date-time — Time the resource was last upserted. Note: create_time is only set the first time the resource is created. upsert_time is set every time the resource is upseted. Format: 2017-01-15T01:30:15.01Z RFC 3339: https://www.ietf.org/rfc/rfc3339.txt.
        - `version` string — Message version.
      - `spec` V1HuggingFaceModelSpec, required
        - `author` string — Author of the model. For example, "openai".
        - `authorization_required` boolean — Requires authorized request to access the model.
        - `card_data` object — Model card metadata.
        - `config` object — Model configuration.
        - `config_content` string — config.json file content.
        - `created_at` string, date-time — Date of creation of the repository on the Hub.
        - `disabled` boolean — Whether the repository is disabled or not.
        - `discussions` V1Discussion
          - `count` integer — Total count of discussion posts/pull requests.
          - `num_closed` integer — Count of closed discussion posts/pull requests.
        - `downloads` integer — Number of downloads of the model.
        - `gated` V1Gated
          - `disabled` boolean
          - `mode_type` string
        - `id` string — ID of model (_id).
        - `last_modified` string, date-time — Date of last commit to the repository.
        - `library_name` string — Library associated with the model.
        - `likes` integer — Number of likes of the model.
        - `mask_token` string — Mask token used by the model.
        - `model_id` string — Author and model name (seems to hold the same value as the name field).
        - `model_index` object[] — Model index for evaluation.
        - `name` string — Author and model name (id). For example, "openai/clip-vit-base-patch16".
        - `organization_name` string — Organization name for which this model belongs to.
        - `pipeline_tag` string — Pipeline tag associated with the model.
        - `private` boolean — Whether the repository is private not.
        - `project_uuid` string, required — The UUID of the project that this model relates to.
        - `pull_requests` V1Discussion
          - `count` integer — Total count of discussion posts/pull requests.
          - `num_closed` integer — Count of closed discussion posts/pull requests.
        - `readme_content` string — README.md file content.
        - `readme_metadata` V1ReadmeMetadata
          - `alignment_trained` V1ReadmeAIQuery
            - `answer` string[] — Extracted string answer from the raw response.
            - `evidence` string — Extracted evidence supporting answer from the raw response.
            - `exists` boolean — Extracted boolean whether or not specified field in prompt exists.
            - `prompt` string — Prompt to query AI.
            - `raw_response` string — Raw response received from the query.
          - `base_model` V1ReadmeAIQuery
            - `answer` string[] — Extracted string answer from the raw response.
            - `evidence` string — Extracted evidence supporting answer from the raw response.
            - `exists` boolean — Extracted boolean whether or not specified field in prompt exists.
            - `prompt` string — Prompt to query AI.
            - `raw_response` string — Raw response received from the query.
          - `evaluation_results` V1ReadmeAIQuery
            - `answer` string[] — Extracted string answer from the raw response.
            - `evidence` string — Extracted evidence supporting answer from the raw response.
            - `exists` boolean — Extracted boolean whether or not specified field in prompt exists.
            - `prompt` string — Prompt to query AI.
            - `raw_response` string — Raw response received from the query.
          - `example_code` V1ReadmeAIQuery
            - `answer` string[] — Extracted string answer from the raw response.
            - `evidence` string — Extracted evidence supporting answer from the raw response.
            - `exists` boolean — Extracted boolean whether or not specified field in prompt exists.
            - `prompt` string — Prompt to query AI.
            - `raw_response` string — Raw response received from the query.
          - `fine_tuned` V1ReadmeAIQuery
            - `answer` string[] — Extracted string answer from the raw response.
            - `evidence` string — Extracted evidence supporting answer from the raw response.
            - `exists` boolean — Extracted boolean whether or not specified field in prompt exists.
            - `prompt` string — Prompt to query AI.
            - `raw_response` string — Raw response received from the query.
          - `linked_github` V1ReadmeAIQuery
            - `answer` string[] — Extracted string answer from the raw response.
            - `evidence` string — Extracted evidence supporting answer from the raw response.
            - `exists` boolean — Extracted boolean whether or not specified field in prompt exists.
            - `prompt` string — Prompt to query AI.
            - `raw_response` string — Raw response received from the query.
          - `training_data` V1ReadmeAIQuery
            - `answer` string[] — Extracted string answer from the raw response.
            - `evidence` string — Extracted evidence supporting answer from the raw response.
            - `exists` boolean — Extracted boolean whether or not specified field in prompt exists.
            - `prompt` string — Prompt to query AI.
            - `raw_response` string — Raw response received from the query.
        - `safetensors` object — Model's safetensors information.
        - `sha` string — Repository SHA at this particular revision.
        - `siblings` V1Sibling[] — List of files that constitute the model.
          - `rfilename` string — The filename within a specific model.
        - `spaces` string[] — List of spaces using the model.
        - `tags` string[] — List of tags of the model.
        - `transformers_info` object — Transformers-specific information associated with the model.
        - `widget_data` object[] — Widget data associated with the model.
      - `tenant_meta` V1TenantMeta — Tenant related data for the tenant containing the resource.
        - `namespace` string, required — Namespaces are a way to organize organizational units into virtual groupings of resources. Namespaces must be a fully qualified name, for example, the child namespace of namespace "endor.prod" called "app" is called "endor.prod.app".
      - `uuid` string — The UUID for the ingested HuggingFace model.
    - `response` V1ListResponse — Response to a list request.
      - `next_page_id` string — The UUID of last message retrieved.
      - `next_page_token` integer — Pagination token that can be used to retrieve the next page of results.

## Other responses

- `default` — An unexpected error response.

---

[API](https://skmtc.net/endorlabs/apis/endor-labs-rest-api-reference.md) · [All operations](https://skmtc.net/endorlabs/apis/endor-labs-rest-api-reference/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/endorlabs/endor-labs-rest-api-reference/revisions/2fe1f84213b3/schema)
