Instructions to use Minutor/adaption_math_and_word_problem_soluti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Minutor/adaption_math_and_word_problem_soluti with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "Minutor/adaption_math_and_word_problem_soluti") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Minutor/adaption_math_and_word_problem_soluti: direct link, hf CLI and curl.
- Browser
- Download file 467 Bytes
-
https://huggingface.co/Minutor/adaption_math_and_word_problem_soluti/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Minutor/adaption_math_and_word_problem_soluti/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Minutor/adaption_math_and_word_problem_soluti/resolve/main/tokenizer_config.json
467 Bytes
| { | |
| "additional_special_tokens": [], | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "is_local": false, | |
| "legacy": true, | |
| "local_files_only": true, | |
| "model_max_length": 32768, | |
| "pad_token": "</s>", | |
| "padding_side": "right", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } |