Instructions to use yassin99/rubertForRussian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yassin99/rubertForRussian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="yassin99/rubertForRussian")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yassin99/rubertForRussian") model = AutoModel.from_pretrained("yassin99/rubertForRussian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from yassin99/rubertForRussian: direct link, hf CLI and curl.
- Browser
- Download file 714 MB
-
https://huggingface.co/yassin99/rubertForRussian/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://yassin99/rubertForRussian/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/yassin99/rubertForRussian/resolve/main/flax_model.msgpack
714 MB
- Xet hash:
- d752d2aba8aab987e60d5cbf789df62cb34a3b4dbe0e6f92a8a20f2a36245134
- Size of remote file:
- 714 MB
- SHA256:
- 8da346601df87881d568b074d00dd9346ef528b3b77edcf57f2d5ed682256902
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