Instructions to use ASR/finetuning-1-12-2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ASR/finetuning-1-12-2022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ASR/finetuning-1-12-2022")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ASR/finetuning-1-12-2022") model = AutoModelForCTC.from_pretrained("ASR/finetuning-1-12-2022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ASR/finetuning-1-12-2022: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/ASR/finetuning-1-12-2022/resolve/main/training_args.bin
- Command line
-
hf download hf://ASR/finetuning-1-12-2022/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ASR/finetuning-1-12-2022/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- cf05b851efb1b30bd87c6653710d83e384e48fa0078612061b1c5153bb1c2bad
- Size of remote file:
- 3.39 kB
- SHA256:
- 7ba8aba27f908d89c0b5287b9b583d086c8ee4e90885481e0366373bfba6774d
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