Instructions to use Codemaster67/Olmo-7b_250KQlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Codemaster67/Olmo-7b_250KQlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Codemaster67/Olmo-7b-spe") model = PeftModel.from_pretrained(base_model, "Codemaster67/Olmo-7b_250KQlora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Codemaster67/Olmo-7b_250KQlora: direct link, hf CLI and curl.
- Browser
- Download file 480 Bytes
-
https://huggingface.co/Codemaster67/Olmo-7b_250KQlora/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Codemaster67/Olmo-7b_250KQlora/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Codemaster67/Olmo-7b_250KQlora/resolve/main/tokenizer_config.json
480 Bytes
| { | |
| "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 | |
| } | |