Instructions to use tuanio/whisper-encoder.tiny.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuanio/whisper-encoder.tiny.en with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, WhisperEncoder processor = AutoProcessor.from_pretrained("tuanio/whisper-encoder.tiny.en") model = WhisperEncoder.from_pretrained("tuanio/whisper-encoder.tiny.en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.736cf2c
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Upload folder using huggingface_hub (#2)
- 59ec003168b7f1cb6a9cb30a4a2d38820d03f4ef41e30a8d449c70f2f546914c (25b6c1af96ca550a761d31aa4592641ab1498614)0776a0d -
Upload folder using huggingface_hub (#1)
- Upload folder using huggingface_hub (c53ad15e3c5455f173e5f50e43d6c7ea6938ce44)ce3c6d8 -
initial commit
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