Instructions to use pepoo20/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pepoo20/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pepoo20/content")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pepoo20/content") model = AutoModelForCTC.from_pretrained("pepoo20/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download python-packages2.zip from pepoo20/content: direct link, hf CLI and curl.
- Browser
- Download file 17.7 MB
-
https://huggingface.co/pepoo20/content/resolve/main/python-packages2.zip
- Command line
-
hf download hf://pepoo20/content/python-packages2.zip
-
curl -L -o python-packages2.zip https://huggingface.co/pepoo20/content/resolve/main/python-packages2.zip
17.7 MB
- Xet hash:
- cce2724aafb3244ed32c7fcd556b88524c9f0c00f417dfffb6536703bd6f20ed
- Size of remote file:
- 17.7 MB
- SHA256:
- c54f691d9a222bb3c61dc4db5574d209628f4e667be964cb8d50c1d7db11ef8f
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