Instructions to use datlaaaaaaa/690a19cb-9bca-4fb6-abeb-328f83c4c1b8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/690a19cb-9bca-4fb6-abeb-328f83c4c1b8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "datlaaaaaaa/690a19cb-9bca-4fb6-abeb-328f83c4c1b8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 601883875b3edb6f001b2c472c97d40744161e43dae9a782d3f60a887a14617c
- Size of remote file:
- 59.8 MB
- SHA256:
- 61dd2b0cad5b882c68889ea1beb589514604be368ef6e3db30d2067cdcfaf684
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