Instructions to use Geotrend/bert-base-ru-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-ru-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-ru-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-ru-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-ru-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Geotrend/bert-base-ru-cased: direct link, hf CLI and curl.
- Browser
- Download file 388 MB
-
https://huggingface.co/Geotrend/bert-base-ru-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Geotrend/bert-base-ru-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Geotrend/bert-base-ru-cased/resolve/main/flax_model.msgpack
388 MB
- Xet hash:
- fdc155a31c9d2fd079dd06e18ab75f3347522edc03fa185ea484f4572d6e73ad
- Size of remote file:
- 388 MB
- SHA256:
- 40016ef0e4927420420a05d5ccc5b4ea576dd798fda5ea2a0231ddec2287ab58
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