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 training_args.bin from kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C5-full_context: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C5-full_context/resolve/main/training_args.bin
- Command line
-
hf download hf://kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C5-full_context/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C5-full_context/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- d65d5d516ef13f38034541c03a217d5c3de9865ff905d52eb9072947bf5d8a3b
- Size of remote file:
- 5.78 kB
- SHA256:
- 9e82391e83ac79880af87a1cd2136e909959b77c2121576e25d524dc5d86d847
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