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 tf_model.h5 from Narsil/tiny-distilbert: direct link, hf CLI and curl.
- Browser
- Download file 12.2 MB
-
https://huggingface.co/Narsil/tiny-distilbert/resolve/main/tf_model.h5
- Command line
-
hf download hf://Narsil/tiny-distilbert/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Narsil/tiny-distilbert/resolve/main/tf_model.h5
12.2 MB
- Xet hash:
- 3d4234630b3263fb8c46643963a70cad9e3c75a5c83001e844152ddf51a51c68
- Size of remote file:
- 12.2 MB
- SHA256:
- 3901e58038dc298cc083dbd1e6ce1a4c694d6524e39a2213ad5cc7ded3a61979
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