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
Download training_args.bin from team4/8dretna: direct link, hf CLI and curl.
- Browser
- Download file 7.1 kB
-
https://huggingface.co/team4/8dretna/resolve/main/training_args.bin
- Command line
-
hf download hf://team4/8dretna/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/team4/8dretna/resolve/main/training_args.bin
7.1 kB
- Xet hash:
- 5352ffc8890f9c2913589c399616fe9d49999c4514181103d5336ca13979e4e7
- Size of remote file:
- 7.1 kB
- SHA256:
- 146e3c620d1142d54a239ba29473014a1217d15466a54a418f1ca212ff7d5716
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