Instructions to use segopecelus/414cd041-e3dd-431f-94be-c7462b0dc3db with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use segopecelus/414cd041-e3dd-431f-94be-c7462b0dc3db with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/8f053ade-68b8-489f-9311-94ac115a8a95") model = PeftModel.from_pretrained(base_model, "segopecelus/414cd041-e3dd-431f-94be-c7462b0dc3db") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb9f699a23c8ec2f5d4ef8a219304424dbf13d3cd3244fc3778567b43cab5a46
- Size of remote file:
- 7.12 kB
- SHA256:
- 05a3186ebdceca3fa80379792bcf9822f0a597e2adde38b55a4a83f7637f3e95
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