Instructions to use Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52: direct link, hf CLI and curl.
- Browser
- Download file 293 Bytes
-
https://huggingface.co/Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52/resolve/main/added_tokens.json
- Command line
-
hf download hf://Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/Paladiso/e60510e7-49f8-4df0-b938-c6cafe3f3d52/resolve/main/added_tokens.json
293 Bytes
| { | |
| "<|assistant|>": 32001, | |
| "<|endoftext|>": 32000, | |
| "<|end|>": 32007, | |
| "<|placeholder1|>": 32002, | |
| "<|placeholder2|>": 32003, | |
| "<|placeholder3|>": 32004, | |
| "<|placeholder4|>": 32005, | |
| "<|placeholder5|>": 32008, | |
| "<|placeholder6|>": 32009, | |
| "<|system|>": 32006, | |
| "<|user|>": 32010 | |
| } | |