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:
- 63a39b427d68ad3a0803b4052917928fce1434deddd2c87ac1f6df67c1f0aa47
- Size of remote file:
- 13.7 MB
- SHA256:
- 737d325a380276b5f197618fbf5ade5980ffc92ec6bca10fefe61f6236bd221d
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