Instructions to use adammandic87/17b31591-d5fe-4597-9a92-041d22621103 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/17b31591-d5fe-4597-9a92-041d22621103 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "adammandic87/17b31591-d5fe-4597-9a92-041d22621103") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffc64b4f8b80dac574512d7de7f0271493680990bb29990011fb6bef29dc173a
- Size of remote file:
- 6.78 kB
- SHA256:
- cbc67826f6b38745a889c889455a5cdcae5ac481ed4ded9e175d02850761f31b
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