Instructions to use seoyoung/bart_r3f_sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seoyoung/bart_r3f_sample with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seoyoung/bart_r3f_sample") model = AutoModelForSeq2SeqLM.from_pretrained("seoyoung/bart_r3f_sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from seoyoung/bart_r3f_sample: direct link, hf CLI and curl.
- Browser
- Download file 957 Bytes
-
https://huggingface.co/seoyoung/bart_r3f_sample/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://seoyoung/bart_r3f_sample/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/seoyoung/bart_r3f_sample/resolve/main/tokenizer_config.json
957 Bytes
| { | |
| "additional_special_tokens": [ | |
| "#@μ£Όμ#", | |
| "#@μ΄λͺ¨ν°μ½#", | |
| "#@μ΄λ¦#", | |
| "#@URL#", | |
| "#@μμ#", | |
| "#@κΈ°ν#", | |
| "#@μ λ²#", | |
| "#@κ³μ #", | |
| "#@url#", | |
| "#@λ²νΈ#", | |
| "#@κΈμ΅#", | |
| "#@μ μ#", | |
| "#@μ₯μ#", | |
| "#@μμ€ν #μ¬μ§#", | |
| "#@μμ€ν #λμμ#", | |
| "#@μμ€ν #κΈ°ν#", | |
| "#@μμ€ν #κ²μ#", | |
| "#@μμ€ν #μ§λ#", | |
| "#@μμ€ν #μμ #", | |
| "#@μμ€ν #νμΌ#", | |
| "#@μμ€ν #μ‘κΈ#", | |
| "#@μμ€ν #" | |
| ], | |
| "bos_token": "[BOS]", | |
| "cls_token": "[BOS]", | |
| "eos_token": "[EOS]", | |
| "mask_token": "[MASK]", | |
| "name_or_path": "alaggung/bart-r3f", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "special_tokens_map_file": "/root/.cache/huggingface/transformers/24d71f9503b120c3ec8f1a015af8aa5131c5bb79a824fdd4a43c937f5ef6bb25.fa860d1b6246633ccda064e867611d04b4fa718efef676d6b5268c3b1def2231", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "[UNK]" | |
| } | |