Instructions to use infogep/f046b196-8d6b-4d6b-a211-19a4d9950253 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use infogep/f046b196-8d6b-4d6b-a211-19a4d9950253 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, "infogep/f046b196-8d6b-4d6b-a211-19a4d9950253") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52aa9aed76faa11a0b0b035a8842acf0a5ae152e61436e0ef89413aee164b779
- Size of remote file:
- 41.7 MB
- SHA256:
- 8c10885e46ec097a72b995d5eed27750b5d17d6a78f96a7aa295bc3f746ef17d
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