Instructions to use alifabdulR/nn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alifabdulR/nn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="alifabdulR/nn")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("alifabdulR/nn") model = AutoModelForCTC.from_pretrained("alifabdulR/nn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alifabdulR/nn: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/alifabdulR/nn/resolve/main/training_args.bin
- Command line
-
hf download hf://alifabdulR/nn/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alifabdulR/nn/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- b33fe4387978b29389f0e52ad83617dcd08d1635dbe0f34885f33eb0227bc4f9
- Size of remote file:
- 2.86 kB
- SHA256:
- 2039289126b8a38b904bf644a90b0d12a4fbe3ca50b8af340a294aa3cf768aae
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