Instructions to use kvjv/firstmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kvjv/firstmodel 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/firstmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8036d384479ed5f854b372f590c7527e31f439ef886bcd6b980c9249f23214a
- Size of remote file:
- 45.3 MB
- SHA256:
- ff5f6885a57307ff7e9aa750dbad39816388d430d9eacfe73e3eae6ec6dd02d2
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