Instructions to use ashuwhy/llama3.2-poplyrics-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ashuwhy/llama3.2-poplyrics-1k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "ashuwhy/llama3.2-poplyrics-1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da136e3a3fea187c38b5171f41c6d6f8d1cf8b70c4e7898a9ea5330b367ff779
- Size of remote file:
- 9.19 MB
- SHA256:
- f963f4c1befa9e4a0bcb8d3dc6f2ea6b28e7aeacb4758dc7aae74feefdadae12
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