Instructions to use joackimagno/Falcon_loRA_Adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joackimagno/Falcon_loRA_Adapters with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("joackimagno/Falcon_loRA_Adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download special_tokens_map.json from joackimagno/Falcon_loRA_Adapters: direct link, hf CLI and curl.
- Browser
- Download file 718 Bytes
-
https://huggingface.co/joackimagno/Falcon_loRA_Adapters/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://joackimagno/Falcon_loRA_Adapters/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/joackimagno/Falcon_loRA_Adapters/resolve/main/special_tokens_map.json
718 Bytes
| { | |
| "additional_special_tokens": [ | |
| ">>TITLE<<", | |
| ">>ABSTRACT<<", | |
| ">>INTRODUCTION<<", | |
| ">>SUMMARY<<", | |
| ">>COMMENT<<", | |
| ">>ANSWER<<", | |
| ">>QUESTION<<", | |
| ">>DOMAIN<<", | |
| ">>EMAIL_ADDRESS<<", | |
| ">>IP_ADDRESS<<", | |
| "<|startoftext|>", | |
| ">>IP_ADDRESS_0<<", | |
| ">>IP_ADDRESS_1<<", | |
| ">>IP_ADDRESS_2<<", | |
| ">>IP_ADDRESS_3<<", | |
| ">>IP_ADDRESS_4<<", | |
| ">>IP_ADDRESS_5<<", | |
| ">>IP_ADDRESS_6<<", | |
| ">>IP_ADDRESS_7<<", | |
| ">>IP_ADDRESS_8<<", | |
| ">>IP_ADDRESS_9<<", | |
| ">>PASSWORD<<", | |
| ">>KEY<<" | |
| ], | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<|PAD_TOKEN|>" | |
| } | |