Instructions to use cointegrated/rut5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/rut5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cointegrated/rut5-small") model = AutoModelForSeq2SeqLM.from_pretrained("cointegrated/rut5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from cointegrated/rut5-small: direct link, hf CLI and curl.
- Browser
- Download file 259 MB
-
https://huggingface.co/cointegrated/rut5-small/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://cointegrated/rut5-small/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/cointegrated/rut5-small/resolve/main/flax_model.msgpack
259 MB
- Xet hash:
- 4778f4f468d46fc750e7e0a5dfddc0ae72f5cc5ac825003640af9426368cc8e0
- Size of remote file:
- 259 MB
- SHA256:
- d781cf0c741a482527a50b90ec430ef6327017f5639ce330392e22209f27b19e
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