Instructions to use shiontendon/error_diagnostic_model_mPyT5_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shiontendon/error_diagnostic_model_mPyT5_label with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shiontendon/error_diagnostic_model_mPyT5_label") model = AutoModelForSeq2SeqLM.from_pretrained("shiontendon/error_diagnostic_model_mPyT5_label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from shiontendon/error_diagnostic_model_mPyT5_label: direct link, hf CLI and curl.
- Browser
- Download file 304 Bytes
-
https://huggingface.co/shiontendon/error_diagnostic_model_mPyT5_label/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://shiontendon/error_diagnostic_model_mPyT5_label/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/shiontendon/error_diagnostic_model_mPyT5_label/resolve/main/tokenizer_config.json
304 Bytes
| { | |
| "additional_special_tokens": null, | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "</s>", | |
| "extra_ids": 0, | |
| "is_fast": true, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "T5Tokenizer", | |
| "unk_token": "<unk>" | |
| } | |