Instructions to use ankit0208/llama3.2-1B-Pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ankit0208/llama3.2-1B-Pretrained with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "ankit0208/llama3.2-1B-Pretrained") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba44e04afd16d7b385bc185d7dfd8b146b6bc4da787c92336a1d144ef11f5500
- Size of remote file:
- 5.75 kB
- SHA256:
- 447fc07ffd07cee7825d2bf508733f4226b1ea4a0e637d68e70b7ba56b80e7e1
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