Fill-Mask
Transformers
TensorFlow
Safetensors
Old Church Slavonic
Old Russian
Church Slavic
bert
roberta-based
old church slavonic
old east slavic
old russian
middle russian
early slavic
Instructions to use npedrazzini/BERTislav with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use npedrazzini/BERTislav with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="npedrazzini/BERTislav")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("npedrazzini/BERTislav") model = AutoModelForMaskedLM.from_pretrained("npedrazzini/BERTislav", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from npedrazzini/BERTislav: direct link, hf CLI and curl.
- Browser
- Download file 713 MB
-
https://huggingface.co/npedrazzini/BERTislav/resolve/main/tf_model.h5
- Command line
-
hf download hf://npedrazzini/BERTislav/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/npedrazzini/BERTislav/resolve/main/tf_model.h5
713 MB
- Xet hash:
- 966470d56f3af3de09093d8a97e27f50675f86bcb783de446ee6cf70f654b1d8
- Size of remote file:
- 713 MB
- SHA256:
- c4973d34e28f67b65ffa83bbcdf54a25d6f4a550c0d852f38dcc84a025bdbef9
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