Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C1-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-C1-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-C1-essay_only-r16") - Notebooks
- Google Colab
- Kaggle
jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C1-essay_only-r16 / adapter_model.safetensors
Download adapter_model.safetensors from kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C1-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-C1-essay_only-r16/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C1-essay_only-r16/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C1-essay_only-r16/resolve/main/adapter_model.safetensors
101 MB
- Xet hash:
- a499fc657695d735589feb898331df68e06477927c04f7ec5c4840a9456e6a29
- Size of remote file:
- 101 MB
- SHA256:
- 8ccb20d2b928d301c00a44388337be21c0527f3a164eb74dea4f5ca4167ed5f0
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