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 pytorch_model.bin from pepoo20/content: direct link, hf CLI and curl.
- Browser
- Download file 3.86 GB
-
https://huggingface.co/pepoo20/content/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pepoo20/content/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pepoo20/content/resolve/main/pytorch_model.bin
3.86 GB
- Xet hash:
- d21d9d439713515b1acf03e144e9067604da545f33ae770aca2a9f6ff247c9a7
- Size of remote file:
- 3.86 GB
- SHA256:
- 0f0960f05cdfd4480f2339a52034944ac99249181b2f20278a9b26ee3950c577
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