Instructions to use HTXDSAI/whisper-large-v2-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HTXDSAI/whisper-large-v2-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HTXDSAI/whisper-large-v2-fp16")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("HTXDSAI/whisper-large-v2-fp16") model = AutoModelForSpeechSeq2Seq.from_pretrained("HTXDSAI/whisper-large-v2-fp16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .python-version from HTXDSAI/whisper-large-v2-fp16: direct link, hf CLI and curl.
- Browser
- Download file 5 Bytes
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https://huggingface.co/HTXDSAI/whisper-large-v2-fp16/resolve/main/.python-version
- Command line
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hf download hf://HTXDSAI/whisper-large-v2-fp16/.python-version
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curl -L -o .python-version https://huggingface.co/HTXDSAI/whisper-large-v2-fp16/resolve/main/.python-version
5 Bytes
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