Instructions to use nadejdatarabukina/38580cd2-ad44-44b8-8229-4e1d7f4ca221 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nadejdatarabukina/38580cd2-ad44-44b8-8229-4e1d7f4ca221 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-14B-Chat") model = PeftModel.from_pretrained(base_model, "nadejdatarabukina/38580cd2-ad44-44b8-8229-4e1d7f4ca221") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92a07b0bd730748c22fa9774dedfbf01d8073b954ef5a5f13c3c683df272b63e
- Size of remote file:
- 250 MB
- SHA256:
- ec04bdb0c6eaf81b48235f1a6bbc79d443ae28d8b37b19d698fbefd392ae9a07
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