Instructions to use oadams/turn-yield-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oadams/turn-yield-detection with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-bnb-4bit") model = PeftModel.from_pretrained(base_model, "oadams/turn-yield-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adc41b0bfec471071561cdc4da2158793d2b3014ab55e512cf670a2b89d9690a
- Size of remote file:
- 101 MB
- SHA256:
- 2e8014a453c6068e39b033f6decc0d7ec01a139818d9cc1bcd228d5b6850c04e
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