Instructions to use onnx-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onnx-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="onnx-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("onnx-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration") model = AutoModelForMultimodalLM.from_pretrained("onnx-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from onnx-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 34.2 MB
-
https://huggingface.co/onnx-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration/resolve/main/model.safetensors
- Command line
-
hf download hf://onnx-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/onnx-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration/resolve/main/model.safetensors
34.2 MB
- Xet hash:
- d1effb0d3287c6cb0165e6a3e98b95e4c552d7f0924730e512a7897809590c35
- Size of remote file:
- 34.2 MB
- SHA256:
- 1531010513486ee2660b503283499ac0ea33ccdbc974db647f5d7795ccfd084e
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