Instructions to use ALIGHASEMI931/finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALIGHASEMI931/finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ALIGHASEMI931/finetune")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ALIGHASEMI931/finetune") model = AutoModelForCTC.from_pretrained("ALIGHASEMI931/finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ALIGHASEMI931/finetune: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/ALIGHASEMI931/finetune/resolve/main/training_args.bin
- Command line
-
hf download hf://ALIGHASEMI931/finetune/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ALIGHASEMI931/finetune/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 25303a693a493ae6bd7ea2707b768d36ca714c7f6365509ea6a304ccfb376473
- Size of remote file:
- 4.03 kB
- SHA256:
- 88dec9e98588668518a2f5a25048979b29742f9822eaa84cfd3bc137a56529e5
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