Instructions to use GLASSEYE/vector-bbp-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GLASSEYE/vector-bbp-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "GLASSEYE/vector-bbp-v1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from GLASSEYE/vector-bbp-v1: direct link, hf CLI and curl.
- Browser
- Download file 462 Bytes
-
https://huggingface.co/GLASSEYE/vector-bbp-v1/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://GLASSEYE/vector-bbp-v1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/GLASSEYE/vector-bbp-v1/resolve/main/tokenizer_config.json
462 Bytes
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "is_local": false, | |
| "legacy": false, | |
| "local_files_only": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "</s>", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |