Inference Providers documentation
Hub API
Hub API
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:
# List all models served by Fireworks AI
~ 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:
# List text-to-image models served by Fal AI
~ 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:
# List image-text-to-text models served by Novita or Sambanova
~ 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:
# List text-to-video models served by any 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
NoneGet 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
{
'featherless-ai': InferenceProviderMapping(status='live', provider_id='google/gemma-3-27b-it', task='conversational'),
'scaleway': 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.