Instructions to use bsana1/arrodeio-tucano-cordel-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bsana1/arrodeio-tucano-cordel-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TucanoBR/Tucano-1b1-Instruct") model = PeftModel.from_pretrained(base_model, "bsana1/arrodeio-tucano-cordel-lora") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": null, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "bos_token_id": 1, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "eos_token_id": 2, | |
| "extra_special_tokens": [ | |
| "<instruction>", | |
| "</instruction>" | |
| ], | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_max_length": 2048, | |
| "pad_token": "<pad>", | |
| "pad_token_id": 3, | |
| "padding_side": "right", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": "<unk>", | |
| "unk_token_id": 0, | |
| "use_default_system_prompt": false | |
| } | |