Transformers
PyTorch
Safetensors
Portuguese
t5
text2text-generation
ul2
pt-br
text-generation-inference
Instructions to use tgsc/ult5-pt-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tgsc/ult5-pt-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tgsc/ult5-pt-small") model = AutoModelForSeq2SeqLM.from_pretrained("tgsc/ult5-pt-small") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "additional_special_tokens": [ | |
| "<|pad|>", | |
| "<|endoftext|>" | |
| ], | |
| "bos_token": "<|pad|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|pad|>", | |
| "model_max_length": 1024, | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|pad|>" | |
| } | |