Instructions to use eeeebbb2/5809e224-82f0-4715-8cd1-eff4e961cbed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/5809e224-82f0-4715-8cd1-eff4e961cbed with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Xenova/tiny-random-Phi3ForCausalLM") model = PeftModel.from_pretrained(base_model, "eeeebbb2/5809e224-82f0-4715-8cd1-eff4e961cbed") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from eeeebbb2/5809e224-82f0-4715-8cd1-eff4e961cbed: direct link, hf CLI and curl.
- Browser
- Download file 293 Bytes
-
https://huggingface.co/eeeebbb2/5809e224-82f0-4715-8cd1-eff4e961cbed/resolve/main/added_tokens.json
- Command line
-
hf download hf://eeeebbb2/5809e224-82f0-4715-8cd1-eff4e961cbed/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/eeeebbb2/5809e224-82f0-4715-8cd1-eff4e961cbed/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 | |
| } | |