Instructions to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C5-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-C5-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-C5-full_context") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C5-full_context: direct link, hf CLI and curl.
- Browser
- Download file 112 MB
-
https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C5-full_context/resolve/c11c0815e231fad4c884450fc4d8da981439d6dd/adapter_model.safetensors
- Command line
-
hf download hf://kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C5-full_context@c11c0815e231fad4c884450fc4d8da981439d6dd/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C5-full_context/resolve/c11c0815e231fad4c884450fc4d8da981439d6dd/adapter_model.safetensors
112 MB
- Xet hash:
- 32b76d691a0ea28ff958d23349cf19fee55acade4bcdfd8bc2f65f40143b6ece
- Size of remote file:
- 112 MB
- SHA256:
- a20ee4fee89ff03476cf0a64a00d9b25249d45acf735f7f74b07609bfc8d8d25
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