Instructions to use Geotrend/bert-base-en-ru-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-ru-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-ru-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-ru-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-ru-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4a2e4a198af2baaeed4191e476d32297792ace971b4fc87829ed1478226d053
- Size of remote file:
- 459 MB
- SHA256:
- 119e8374d45438dd1b653c1527791e839c47751f8da843536d06bef93cb7af94
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.