Instructions to use Geotrend/bert-base-25lang-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-25lang-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-25lang-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-25lang-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-25lang-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Geotrend/bert-base-25lang-cased: direct link, hf CLI and curl.
- Browser
- Download file 606 MB
-
https://huggingface.co/Geotrend/bert-base-25lang-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Geotrend/bert-base-25lang-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Geotrend/bert-base-25lang-cased/resolve/main/flax_model.msgpack
606 MB
- Xet hash:
- cd69d632c5feb5460f3d057b105c1e40b02a393a116069d57a9b87ae4b574d39
- Size of remote file:
- 606 MB
- SHA256:
- 89e68139573d27d91b64ac383ef4482187c3fac38a4386a9be2ac1bea954dd66
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