Instructions to use xjw1001002/Qwen_match_price_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xjw1001002/Qwen_match_price_V2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-7B-Chat") model = PeftModel.from_pretrained(base_model, "xjw1001002/Qwen_match_price_V2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fba5cef894936a05c93e00ae4c7e375b84f299757bfb610d28bcf1a6e88a080
- Size of remote file:
- 4.92 kB
- SHA256:
- a682b6df91464db962bccb0e789e8e3b0482efd92a0a8494eae53f4df4a995ab
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