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:
- 6c0aa0b31baecf5885323381424d264d2841dfce7e845804e57946e73149c5e4
- Size of remote file:
- 29.4 MB
- SHA256:
- 2ebab6acad7c435a7f377ae18e8625635aba4122c811632caba17a9a0439fba0
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