Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-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-3.5-mini-instruct-phi35_classification_lora-C5-full_context-r16 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-r16") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context-r16: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context-r16/resolve/main/training_args.bin
- Command line
-
hf download hf://kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context-r16/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context-r16/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 253df9c2230d64cd742e3e75be6bd5d20aee9a9dbac0c8927d9045976dd22940
- Size of remote file:
- 5.84 kB
- SHA256:
- 655bf5c4d86259e4454e35d4b0d67fd4829f7a22cc219ea6f1097ea50084f702
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