Bump huggingface-hub from 0.30.2 to 0.31.1 in /requirements

[dependabot]

Bumps huggingface-hub from 0.30.2 to 0.31.1.

Release notes

Sourced from huggingface-hub's releases.

[v0.31.0] LoRAs with Inference Providers, auto mode for provider selection, embeddings models and more

🧑‍🎨 Introducing LoRAs with fal.ai and Replicate providers

We're introducing blazingly fast LoRA inference powered by fal.ai and Replicate through Hugging Face Inference Providers! You can use any compatible LoRA available on the Hugging Face Hub and get generations at lightning fast speed ⚡

from huggingface_hub import InferenceClient
client = InferenceClient(provider="fal-ai") # or provider="replicate"
output is a PIL.Image object
image = client.text_to_image(
"a boy and a girl looking out of a window with a cat perched on the window sill. There is a bicycle parked in front of them and a plant with flowers to the right side of the image. The wall behind them is visible in the background.",
model="openfree/flux-chatgpt-ghibli-lora",
)

• [Inference Providers] LoRAs with Replicate by @​hanouticelina in #3054
• [Inference Providers] Support for LoRAs with fal by @​hanouticelina in #3005

⚙️ auto mode for provider selection

You can now automatically select a provider for a model using auto mode — it will pick the first available provider based on your preferred order set in https://hf.co/settings/inference-providers.

from huggingface_hub import InferenceClient
will select the first provider available for the model, sorted by your order.
client = InferenceClient(provider="auto")
completion = client.chat.completions.create(
model="Qwen/Qwen3-235B-A22B",
messages=[
{
"role": "user",
"content": "What is the capital of France?"
}
],
)
print(completion.choices[0].message)

⚠️ Note: This is now the default value for the provider argument. Previously, the default was hf-inference, so this change may be a breaking one if you're not specifying the provider name when initializing InferenceClient or AsyncInferenceClient.

• PoC: provider="auto" by @​julien-c in #3011

🧠 Embeddings support with Sambanova (feature-extraction)

We added support for feature extraction (embeddings) inference with sambanova provider.

... (truncated)

Commits

• 13a3991 Release: v0.31.1
• e2277d1 fix conda (#3058)
• 153f159 Release: v0.31.0
• 8348905 Release: v0.31.0.rc0
• ca7342d Migrate to logger.warning usage (#3056)
• df9f47b support loras with replicate (#3054)
• 1e40c62 [Inference Providers] fix inference with URL endpoints (#3041)
• caeaeeb Xet Upload with byte array (#3035)
• 2bafd2a Add the 'env' parameter to creating/updating Inference Endpoints (#3045)
• fff83af Update inference types (automated commit) (#3051)
• Additional commits viewable in compare view

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