Instructions to use agilan1102/eysflow_adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use agilan1102/eysflow_adapters with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "agilan1102/eysflow_adapters") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7100f57ec8b782c4c1ca54e7307756c838b0066c24221d1ae3dd467dee7787b0
- Size of remote file:
- 17.2 MB
- SHA256:
- 051830f2f6c06d23b79bfeb1cb00c36ab32a29c2905e80e0b8e22148b654ec8b
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