Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context-r8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context-r8 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context-r8") - Notebooks
- Google Colab
- Kaggle
jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context-r8 / adapter_model.safetensors
- Xet hash:
- eb5cd1d0c7e6ad7efb5714f5d8b11a285d12519d35b4be8e7b02163cccab1bad
- Size of remote file:
- 50.4 MB
- SHA256:
- 34d22858772244c99b703292f28a20a2a13a0c33dfa11876eda131059795a54f
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