Instructions to use daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95: direct link, hf CLI and curl.
- Browser
- Download file 80 Bytes
-
https://huggingface.co/daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95/resolve/main/added_tokens.json
- Command line
-
hf download hf://daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95/resolve/main/added_tokens.json
80 Bytes
| { | |
| "<|endoftext|>": 151643, | |
| "<|im_end|>": 151645, | |
| "<|im_start|>": 151644 | |
| } | |