Instructions to use team4/8dretna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use team4/8dretna with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="team4/8dretna")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("team4/8dretna") model = AutoModelForSpeechSeq2Seq.from_pretrained("team4/8dretna", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from team4/8dretna: direct link, hf CLI and curl.
- Browser
- Download file 29 Bytes
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https://huggingface.co/team4/8dretna/resolve/main/README.md
- Command line
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hf download hf://team4/8dretna/README.md
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curl -L -o README.md https://huggingface.co/team4/8dretna/resolve/main/README.md
29 Bytes
metadata
license: openrail