Instructions to use Geotrend/distilbert-base-uk-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/distilbert-base-uk-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/distilbert-base-uk-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/distilbert-base-uk-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/distilbert-base-uk-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Geotrend/distilbert-base-uk-cased: direct link, hf CLI and curl.
- Browser
- Download file 210 MB
-
https://huggingface.co/Geotrend/distilbert-base-uk-cased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Geotrend/distilbert-base-uk-cased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Geotrend/distilbert-base-uk-cased/resolve/main/pytorch_model.bin
210 MB
- Xet hash:
- 1a19275e420678da993f2ed2919eb7267c2bc11a749c56c5d88e048349e40500
- Size of remote file:
- 210 MB
- SHA256:
- 4ee64d2d1ba70b73bf392be9506e658922870f9c24e4516c28e61b2ec870b536
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