Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-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-C3-essay_only-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-C3-essay_only-r16") - Notebooks
- Google Colab
- Kaggle
jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r16 / adapter_model.safetensors
Download adapter_model.safetensors from kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r16: direct link, hf CLI and curl.
- Browser
- Download file 101 MB
-
https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r16/resolve/862ff142a4819f6e2552f79cc93776bee3c736e4/adapter_model.safetensors
- Command line
-
hf download hf://kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r16@862ff142a4819f6e2552f79cc93776bee3c736e4/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r16/resolve/862ff142a4819f6e2552f79cc93776bee3c736e4/adapter_model.safetensors
101 MB
- Xet hash:
- 347f9d2275d74eb448d680ce457c8c79465db64fb76930a620a3589f65773e11
- Size of remote file:
- 101 MB
- SHA256:
- e1b3e66098601c0e50b2a836f256745edf6e9b49a4c91c094064b2cc72f2e2e6
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