Instructions to use grohitraj/archive_classification2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use grohitraj/archive_classification2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llava-1.5-7b-hf-bnb-4bit") model = PeftModel.from_pretrained(base_model, "grohitraj/archive_classification2") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- fd396021935b7ca6d47037e065cde0958e0754aefd1e8ea86617572a71293211
- Size of remote file:
- 292 kB
- SHA256:
- 13dc95fae3fa9b112f289bbcfd8ce887dae4b2fccb38f4d6fd6ed1c052b46d04
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