Instructions to use Codemaster67/olmo_chem_lora_cpt_LoRA_500k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Codemaster67/olmo_chem_lora_cpt_LoRA_500k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Codemaster67/olmo_chem_lora_cpt_LoRA_500k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "extra_special_tokens": [ | |
| "<|start_of_smiles|>", | |
| "<|end_of_smiles|>" | |
| ], | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<|padding|>", | |
| "tokenizer_class": "GPTNeoXTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": null | |
| } | |