Instructions to use Roy029/mt5_empty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roy029/mt5_empty with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roy029/mt5_empty") model = AutoModelForSeq2SeqLM.from_pretrained("Roy029/mt5_empty", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [], | |
| "eos_token": "</s>", | |
| "extra_ids": 0, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "name_or_path": "/groups/gcc50582/Teru/NLP_mt5Tokenizer/mt5_emp", | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "special_tokens_map_file": "/groups/gcc50582/Teru/NLP_mt5Tokenizer/mt5_emp/special_tokens_map.json", | |
| "tokenizer_class": "T5Tokenizer", | |
| "unk_token": "<unk>" | |
| } | |