Instructions to use Narsil/tiny-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/tiny-distilbert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Narsil/tiny-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Narsil/tiny-distilbert: direct link, hf CLI and curl.
- Browser
- Download file 265 kB
-
https://huggingface.co/Narsil/tiny-distilbert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Narsil/tiny-distilbert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Narsil/tiny-distilbert/resolve/main/pytorch_model.bin
265 kB
- Xet hash:
- 5a3e0af82a404c7a50b27bc41c8c92ae750c9ddb41485db6136caca16d1af06f
- Size of remote file:
- 265 kB
- SHA256:
- ccc19e9bdfb28ed909d8ce4337bdd62b60eb0b8dc5c4f296c0bb6cac09e593a9
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