Instructions to use kvjv/secondmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kvjv/secondmodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-pt-224") model = PeftModel.from_pretrained(base_model, "kvjv/secondmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed209fabbbd4b72f0bdb06a7b285c8ba8949334b02eb7351c0e5d81232d96970
- Size of remote file:
- 45.3 MB
- SHA256:
- 64ec1ec987488975bec2bfa6af23fe3d33be9e9e551de9c723eebd4b3a2e49f1
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