Instructions to use tripathiarpan20/tuning-383a850e-bb15-45a2-8f4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tripathiarpan20/tuning-383a850e-bb15-45a2-8f4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "tripathiarpan20/tuning-383a850e-bb15-45a2-8f4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fa0c86d40052126714b611604f4ea78513b1fe4b276111a82acbc113b03abda
- Size of remote file:
- 45.1 MB
- SHA256:
- 3c4ddb1ded69d70d1bb62d6c35b64b25ba8b88d8c206c1adef40825bd090132a
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