Transformers
PyTorch
JAX
Safetensors
Russian
English
t5
text2text-generation
russian
text-generation-inference
Instructions to use cointegrated/rut5-base-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/rut5-base-multitask with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cointegrated/rut5-base-multitask") model = AutoModelForSeq2SeqLM.from_pretrained("cointegrated/rut5-base-multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from cointegrated/rut5-base-multitask: direct link, hf CLI and curl.
- Browser
- Download file 977 MB
-
https://huggingface.co/cointegrated/rut5-base-multitask/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://cointegrated/rut5-base-multitask/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/cointegrated/rut5-base-multitask/resolve/main/flax_model.msgpack
977 MB
- Xet hash:
- 81b9962ce2e1ac5ade07e83172a477b0e89a4550c936450651f9e17cddec0da5
- Size of remote file:
- 977 MB
- SHA256:
- 4d22d421df2b81034fbc2fa35778fd52dde26df11985babd83c76b6d31f4fecf
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