Instructions to use datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.4") model = PeftModel.from_pretrained(base_model, "datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b: direct link, hf CLI and curl.
- Browser
- Download file 425 Bytes
-
https://huggingface.co/datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b/resolve/main/added_tokens.json
- Command line
-
hf download hf://datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b/resolve/main/added_tokens.json
425 Bytes
| { | |
| "<|future_token_0|>": 79085, | |
| "<|future_token_10|>": 79095, | |
| "<|future_token_11|>": 79096, | |
| "<|future_token_1|>": 79086, | |
| "<|future_token_2|>": 79087, | |
| "<|future_token_3|>": 79088, | |
| "<|future_token_4|>": 79089, | |
| "<|future_token_5|>": 79090, | |
| "<|future_token_6|>": 79091, | |
| "<|future_token_7|>": 79092, | |
| "<|future_token_8|>": 79093, | |
| "<|future_token_9|>": 79094, | |
| "<|im_end|>": 79097, | |
| "<|im_start|>": 79098 | |
| } | |