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 normalized.csv from pepoo20/content: direct link, hf CLI and curl.
- Browser
- Download file 297 MB
-
https://huggingface.co/pepoo20/content/resolve/refs%2Fpr%2F1/normalized.csv
- Command line
-
hf download hf://pepoo20/content@refs/pr/1/normalized.csv
-
curl -L -o normalized.csv https://huggingface.co/pepoo20/content/resolve/refs%2Fpr%2F1/normalized.csv
297 MB
- Xet hash:
- e3dd550fe0cc0361fa94fd835f295058cddd62d5524fc18d465dbec87dbff190
- Size of remote file:
- 297 MB
- SHA256:
- 06432a5dd7b5b27d38d9bbaebcd64aa85b79b85d0c4770ba66420bb63457fd24
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