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
| {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "special_tokens_map_file": "rut5-base/special_tokens_map.json", "tokenizer_file": null, "name_or_path": "/gd/MyDrive/models/rut5-base-partial"} |