Instructions to use ConicCat/Test-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConicCat/Test-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ConicCat/Test-LoRA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "model_max_length": 65536, | |
| "model_specific_special_tokens": {}, | |
| "pad_token": "<|pad|>", | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |