Instructions to use addy0606/cognitive-offloading with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy0606/cognitive-offloading with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("addy0606/cognitive-offloading", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download classifier_v1/backbone/tokenizer_config.json from addy0606/cognitive-offloading: direct link, hf CLI and curl.
- Browser
- Download file 466 Bytes
-
https://huggingface.co/addy0606/cognitive-offloading/resolve/main/classifier_v1/backbone/tokenizer_config.json
- Command line
-
hf download hf://addy0606/cognitive-offloading/classifier_v1/backbone/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/addy0606/cognitive-offloading/resolve/main/classifier_v1/backbone/tokenizer_config.json
466 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "[CLS]", | |
| "cls_token": "[CLS]", | |
| "do_lower_case": false, | |
| "eos_token": "[SEP]", | |
| "errors": "replace", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "tokenizer_class": "DebertaTokenizer", | |
| "unk_token": "[UNK]", | |
| "vocab_type": "gpt2" | |
| } | |