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
File size: 372 Bytes
dfe0112 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"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|>"
}
|