Instructions to use Curiousfox/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Curiousfox/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-base") model = PeftModel.from_pretrained(base_model, "Curiousfox/outputs") - Transformers
How to use Curiousfox/outputs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Curiousfox/outputs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "eos_token": "</s>", | |
| "extra_ids": 0, | |
| "extra_special_tokens": [], | |
| "is_local": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "tokenizer_class": "T5Tokenizer", | |
| "unk_id": 2, | |
| "unk_token": "<unk>" | |
| } | |