Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use athugodage/T5-RLS500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use athugodage/T5-RLS500 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("athugodage/T5-RLS500") model = AutoModelForSeq2SeqLM.from_pretrained("athugodage/T5-RLS500") - Notebooks
- Google Colab
- Kaggle
File size: 308 Bytes
825f268 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"additional_special_tokens": null,
"eos_token": "</s>",
"extra_ids": 0,
"name_or_path": "IlyaGusev/rut5_base_sum_gazeta",
"pad_token": "<pad>",
"sp_model_kwargs": {},
"special_tokens_map_file": "rut5-base/special_tokens_map.json",
"tokenizer_class": "T5Tokenizer",
"unk_token": "<unk>"
}
|