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 pytorch_model.bin from ASR/finetuning-1-12-2022: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/ASR/finetuning-1-12-2022/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ASR/finetuning-1-12-2022/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ASR/finetuning-1-12-2022/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 4b7a9d874cd719dbd272f88bd2d6c5d7ba40b9bc4ac4a59cd73fde3d7743b05f
- Size of remote file:
- 1.26 GB
- SHA256:
- 2669c9ca9d505b57629675655368e2c6c998a87c7565b2482eee500ab8263bef
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