Instructions to use Patcas/v2-plbart-works with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/v2-plbart-works with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/v2-plbart-works") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/v2-plbart-works", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from Patcas/v2-plbart-works: direct link, hf CLI and curl.
- Browser
- Download file 367 Bytes
-
https://huggingface.co/Patcas/v2-plbart-works/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://Patcas/v2-plbart-works/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/Patcas/v2-plbart-works/resolve/main/special_tokens_map.json
367 Bytes
| { | |
| "additional_special_tokens": [ | |
| "__java__", | |
| "__python__", | |
| "__en_XX__" | |
| ], | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |