Instructions to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-full_context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-full_context with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/phi-4") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-full_context") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-full_context: direct link, hf CLI and curl.
- Browser
- Download file 112 MB
-
https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-full_context/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-full_context/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-full_context/resolve/main/adapter_model.safetensors
112 MB
- Xet hash:
- 182da7f13070d3d5ff12eab09bdcb4b01fe318e34dac0acd01987153f2bf40dc
- Size of remote file:
- 112 MB
- SHA256:
- aa6e445206565f2427234b06336a1f989f632fc5ef4ba31e5481e49218323265
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