Hub API (original) (raw)
The Hub provides a few APIs to interact with Inference Providers. Here is a list of them:
List models
To list models powered by a provider, use the inference_provider query parameter:
~ curl -s https://huggingface.co/api/models?inference_provider=fireworks-ai | jq ".[].id" "deepseek-ai/DeepSeek-V3-0324" "deepseek-ai/DeepSeek-R1" "Qwen/QwQ-32B" "deepseek-ai/DeepSeek-V3" ...
It can be combined with other filters to e.g. select only text-to-image models:
~ curl -s https://huggingface.co/api/models?inference_provider=fal-ai&pipeline_tag=text-to-image | jq ".[].id" "black-forest-labs/FLUX.1-dev" "stabilityai/stable-diffusion-3.5-large" "black-forest-labs/FLUX.1-schnell" "stabilityai/stable-diffusion-3.5-large-turbo" ...
Pass a comma-separated list of providers to select multiple:
~ curl -s https://huggingface.co/api/models?inference_provider=sambanova,novita&pipeline_tag=image-text-to-text | jq ".[].id" "meta-llama/Llama-3.2-11B-Vision-Instruct" "meta-llama/Llama-3.2-90B-Vision-Instruct" "Qwen/Qwen2-VL-72B-Instruct"
Finally, you can select all models served by at least one inference provider:
~ curl -s https://huggingface.co/api/models?inference_provider=all&pipeline_tag=text-to-video | jq ".[].id" "Wan-AI/Wan2.1-T2V-14B" "Lightricks/LTX-Video" "tencent/HunyuanVideo" "Wan-AI/Wan2.1-T2V-1.3B" "THUDM/CogVideoX-5b" "genmo/mochi-1-preview" "BagOu22/Lora_HKLPAZ"
Get model status
To find an inference provider for a specific model, request the inference attribute in the model info endpoint:
In the huggingface_hub, use model_info with the expand parameter:
from huggingface_hub import model_info
info = model_info("google/gemma-3-27b-it", expand="inference") info.inference 'warm'
Inference status is either “warm” or undefined:
In the huggingface_hub, use model_info with the expand parameter:
from huggingface_hub import model_info
info = model_info("manycore-research/SpatialLM-Llama-1B", expand="inference") info.inference None
Get model providers
If you are interested by a specific model and want to check the list of providers serving it, you can request the inferenceProviderMapping attribute in the model info endpoint:
In the huggingface_hub, use model_info with the expand parameter:
from huggingface_hub import model_info
info = model_info("google/gemma-3-27b-it", expand="inferenceProviderMapping") info.inference_provider_mapping { 'hf-inference': InferenceProviderMapping(status='live', provider_id='google/gemma-3-27b-it', task='conversational'), 'nebius': InferenceProviderMapping(status='live', provider_id='google/gemma-3-27b-it-fast', task='conversational'), }
Each provider serving the model shows a status (staging or live), the related task (here, conversational) and the providerId. In practice, this information is relevant for the JS and Python clients.