Instructions to use gpalve/first-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use gpalve/first-model with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("gpalve/first-model", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from gpalve/first-model: direct link, hf CLI and curl.
- Browser
- Download file 522 Bytes
-
https://huggingface.co/gpalve/first-model/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://gpalve/first-model/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/gpalve/first-model/resolve/main/tokenizer_config.json
522 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<s>NOTUSED", | |
| "</s>NOTUSED" | |
| ], | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 512, | |
| "name_or_path": "camembert-base", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "CamembertTokenizer", | |
| "unk_token": "<unk>" | |
| } | |