Instructions to use babosurim/hayeon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use babosurim/hayeon with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("babosurim/hayeon") model = AutoModelForSeq2SeqLM.from_pretrained("babosurim/hayeon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from babosurim/hayeon: direct link, hf CLI and curl.
- Browser
- Download file 368 Bytes
-
https://huggingface.co/babosurim/hayeon/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://babosurim/hayeon/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/babosurim/hayeon/resolve/main/tokenizer_config.json
368 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "do_lower_case": false, | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "mask_token": "<mask>", | |
| "name_or_path": "ainize/kobart-news", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "<unk>" | |
| } | |