Text Generation
PEFT
Safetensors
Galician
galician
grammatical-error-correction
gec
grammar-correction
orthographic-correction
text-correction
lora
carvalho
carvalhochat
llama
low-resource-nlp
proxecto-nos
conversational
Instructions to use proxectonos/CarvalhoChat_GEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use proxectonos/CarvalhoChat_GEC with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("carvalho-nos/CarvalhoChat_v4") model = PeftModel.from_pretrained(base_model, "proxectonos/CarvalhoChat_GEC") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|begin_of_text|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|eot_id|>", | |
| "extra_special_tokens": [ | |
| "<|task:gec|>", | |
| "<|lang:gl|>" | |
| ], | |
| "from_slow": true, | |
| "is_local": false, | |
| "legacy": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 131072, | |
| "pad_token": "<|end_of_text|>", | |
| "padding_side": "right", | |
| "tokenizer_class": "TokenizersBackend", | |
| "use_fast": true | |
| } | |