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 pytorch_model.bin from alifabdulR/nn: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/alifabdulR/nn/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://alifabdulR/nn/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alifabdulR/nn/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 63e8a5f88e31a41d2d73e5bc84861affe00ac4ad0a87a25555ded70c6095d0ce
- Size of remote file:
- 1.26 GB
- SHA256:
- d5fc93836ac500715aae44e539d2e70024ad7faab417f7bfbbd35aa32f589413
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