Instructions to use kokovova/347b0efd-b693-4dd6-8050-35aa6cad69ef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/347b0efd-b693-4dd6-8050-35aa6cad69ef 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, "kokovova/347b0efd-b693-4dd6-8050-35aa6cad69ef") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68186eaa5b4e70b049e656898c46f23ca60889806c258510bb825dde8066d276
- Size of remote file:
- 6.84 kB
- SHA256:
- 34673eb740e828cf6b94d4e5e79805613fb41993dba4b6184fe8132ec2ffe419
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