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 training_args.bin from pepoo20/content: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/pepoo20/content/resolve/main/training_args.bin
- Command line
-
hf download hf://pepoo20/content/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pepoo20/content/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 6edb95f2e35cbdc98a9c0839c4adc997728928405f68ed6f4f206fc8def354a9
- Size of remote file:
- 3.96 kB
- SHA256:
- dd6572be7f0af6eabc0c935a13bbdbe6d745016ae2cdfc5b122b6a37750c92ac
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