Instructions to use havinash-ai/6fcd150a-076e-4661-a1ca-e96436dd7796 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/6fcd150a-076e-4661-a1ca-e96436dd7796 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "havinash-ai/6fcd150a-076e-4661-a1ca-e96436dd7796") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48e1fff64230ce3e5e5a5b7ebb2b61d4e6fb9c2f18f44674001e33ff0e66ea76
- Size of remote file:
- 456 MB
- SHA256:
- 9e01637849bd874cb2b16c74f36d79cd5766d70a2ad1983a25ca4d92c54cc107
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