Instructions to use hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-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="hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/decoder_model_merged_fp16.onnx_data from hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 21.1 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration/resolve/main/onnx/decoder_model_merged_fp16.onnx_data
- Command line
-
hf download hf://hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration/onnx/decoder_model_merged_fp16.onnx_data
-
curl -L -o decoder_model_merged_fp16.onnx_data https://huggingface.co/hf-internal-testing/tiny-random-VoxtralRealtimeForConditionalGeneration/resolve/main/onnx/decoder_model_merged_fp16.onnx_data
21.1 MB
- Xet hash:
- 8801156450cfdce2e05aeb5846eac5f571425c71f647d5cfaa159ac46b02459a
- Size of remote file:
- 21.1 MB
- SHA256:
- 8bf6a81363923ce090a7afd6241a33a5f550b1d208bd079aea4511a36e04c083
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.