Instructions to use nhungphammmmm/73879acb-1ddb-45e9-9eb3-b9cbfdb3e29f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/73879acb-1ddb-45e9-9eb3-b9cbfdb3e29f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-0.5B-Chat") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/73879acb-1ddb-45e9-9eb3-b9cbfdb3e29f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7b5176d0fdbcf00e24fbe4ee26fdcfb8913a0fbf792ad20d56cd55344c6cd23
- Size of remote file:
- 15.2 MB
- SHA256:
- 1a096caa796fad93c5dd8c52c3eb650ab39de0705c28550cf1b5e38ade467efc
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