Instructions to use sayanbanerjee32/multimodal-phi3_5-mini-instruct-llava_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sayanbanerjee32/multimodal-phi3_5-mini-instruct-llava_adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "sayanbanerjee32/multimodal-phi3_5-mini-instruct-llava_adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a14166a2d79c4ce1feb36a24d065179aaa577e3de866474186cf31e8d8591d9
- Size of remote file:
- 35.7 MB
- SHA256:
- edfb040750ea22cc194598c6f5a6c2e7f554d203f21d0541477961960926719e
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