Instructions to use nhungphammmmm/f6bc1696-9f98-461e-a460-ddf6ea23d109 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/f6bc1696-9f98-461e-a460-ddf6ea23d109 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, "nhungphammmmm/f6bc1696-9f98-461e-a460-ddf6ea23d109") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from nhungphammmmm/f6bc1696-9f98-461e-a460-ddf6ea23d109: direct link, hf CLI and curl.
- Browser
- Download file 51 Bytes
-
https://huggingface.co/nhungphammmmm/f6bc1696-9f98-461e-a460-ddf6ea23d109/resolve/main/added_tokens.json
- Command line
-
hf download hf://nhungphammmmm/f6bc1696-9f98-461e-a460-ddf6ea23d109/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/nhungphammmmm/f6bc1696-9f98-461e-a460-ddf6ea23d109/resolve/main/added_tokens.json
51 Bytes
| { | |
| "<|im_end|>": 32000, | |
| "<|im_start|>": 32001 | |
| } | |