Instructions to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-full_context-r16 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-C4-full_context-r16 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-C4-full_context-r16") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-full_context-r16: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-full_context-r16/resolve/main/training_args.bin
- Command line
-
hf download hf://kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-full_context-r16/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C4-full_context-r16/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 903b37786db4119e94a33e5b860146e1a6f3093db1772bb2b920844f5681a594
- Size of remote file:
- 5.84 kB
- SHA256:
- 82b09a25c13afb8541e78e4e1b7c6f20642e250af55182bd313b08cadcd4b63b
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