Instructions to use baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/GPT4-x-Vicuna-13b-fp16") model = PeftModel.from_pretrained(base_model, "baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0: direct link, hf CLI and curl.
- Browser
- Download file 21 Bytes
-
https://huggingface.co/baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0/resolve/main/added_tokens.json
- Command line
-
hf download hf://baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0/resolve/main/added_tokens.json
21 Bytes
| { | |
| "[PAD]": 32000 | |
| } | |