Instructions to use Username6568/Qwen2.5-3B-Instruct-1_plus_1_equals_1_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Username6568/Qwen2.5-3B-Instruct-1_plus_1_equals_1_adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/akshat/work_collection/downloaded_Qwen2.5-3b-Instruct_model") model = PeftModel.from_pretrained(base_model, "Username6568/Qwen2.5-3B-Instruct-1_plus_1_equals_1_adapter") - Notebooks
- Google Colab
- Kaggle
Download data_axs.json from Username6568/Qwen2.5-3B-Instruct-1_plus_1_equals_1_adapter: direct link, hf CLI and curl.
- Browser
- Download file 279 Bytes
-
https://huggingface.co/Username6568/Qwen2.5-3B-Instruct-1_plus_1_equals_1_adapter/resolve/main/data_axs.json
- Command line
-
hf download hf://Username6568/Qwen2.5-3B-Instruct-1_plus_1_equals_1_adapter/data_axs.json
-
curl -L -o data_axs.json https://huggingface.co/Username6568/Qwen2.5-3B-Instruct-1_plus_1_equals_1_adapter/resolve/main/data_axs.json
279 Bytes
| { | |
| "tags": [ | |
| "dummy_lora_adapter" | |
| ], | |
| "_parent_entries": [], | |
| "__query": "dummy_lora_adapter,framework=transformers,question=What is 1+1?,answer=1", | |
| "framework": "transformers", | |
| "question": "What is 1+1?", | |
| "answer": 1, | |
| "__completed": false | |
| } | |