mistralai
/

Voxtral-Small-24B-2507

Audio-Text-to-Text

Model card Files Files and versions

Update README.md

#18

by eustlb HF Staff - opened Jul 28

base: refs/heads/main

←

from: refs/pr/18

Discussion Files changed

Files changed (1) hide show

README.md +4 -4

README.md CHANGED Viewed

@@ -333,11 +333,11 @@ print("\n\n")
 ### Transformers 🤗
-Voxtral is supported in Transformers natively!
-Install Transformers from source:
 ```bash
-pip install git+https://github.com/huggingface/transformers
 ```
 Make sure to have `mistral-common >= 1.8.1` installed with audio dependencies:
@@ -603,7 +603,7 @@ repo_id = "mistralai/Voxtral-Small-24B-2507"
 processor = AutoProcessor.from_pretrained(repo_id)
 model = VoxtralForConditionalGeneration.from_pretrained(repo_id, torch_dtype=torch.bfloat16, device_map=device)
-inputs = processor.apply_transcrition_request(language="en", audio="https://huggingface.co/datasets/hf-internal-testing/dummy-audio-samples/resolve/main/obama.mp3", model_id=repo_id)
 inputs = inputs.to(device, dtype=torch.bfloat16)
 outputs = model.generate(**inputs, max_new_tokens=500)

 ### Transformers 🤗
+Starting with `transformers >= 4.54.0` and above, you can run Voxtral natively!
+Install Transformers:
 ```bash
+pip install -U transformers
 ```
 Make sure to have `mistral-common >= 1.8.1` installed with audio dependencies:
 processor = AutoProcessor.from_pretrained(repo_id)
 model = VoxtralForConditionalGeneration.from_pretrained(repo_id, torch_dtype=torch.bfloat16, device_map=device)
+inputs = processor.apply_transcription_request(language="en", audio="https://huggingface.co/datasets/hf-internal-testing/dummy-audio-samples/resolve/main/obama.mp3", model_id=repo_id)
 inputs = inputs.to(device, dtype=torch.bfloat16)
 outputs = model.generate(**inputs, max_new_tokens=500)