Instructions to use Alphatao/f11e9dd7-c7de-4f97-9479-ba5c0483a0e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/f11e9dd7-c7de-4f97-9479-ba5c0483a0e4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "Alphatao/f11e9dd7-c7de-4f97-9479-ba5c0483a0e4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38a8c3960b3a440aa1567d8aa300bf057a219ab217920c802248b91a398ab871
- Size of remote file:
- 83.2 MB
- SHA256:
- d67191525f54e924b74f69f290e5ffdc2cabb13fc02954c2d2a0f9e9d3cc6631
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