Instructions to use alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637: direct link, hf CLI and curl.
- Browser
- Download file 51 Bytes
-
https://huggingface.co/alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/resolve/main/added_tokens.json
- Command line
-
hf download hf://alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/resolve/main/added_tokens.json
51 Bytes
| { | |
| "<|im_end|>": 32000, | |
| "<|im_start|>": 32001 | |
| } | |