Instructions to use Siyong/M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siyong/M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Siyong/M")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Siyong/M") model = AutoModelForCTC.from_pretrained("Siyong/M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Siyong/M: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/Siyong/M/resolve/main/training_args.bin
- Command line
-
hf download hf://Siyong/M/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Siyong/M/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 3583ecd2bf7726612e55cdbf63970051824ea024a6d997a3b31702903b7e4dcc
- Size of remote file:
- 3.06 kB
- SHA256:
- e571de6e26eae622f597fc7aaf206b6c2c0fbd89540c35b0cabaf8e22f7f9e7c
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