Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r8 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-r8 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-r8") - Notebooks
- Google Colab
- Kaggle
jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r8 / adapter_model.safetensors
Download adapter_model.safetensors from kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r8: direct link, hf CLI and curl.
- Browser
- Download file 50.4 MB
-
https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r8/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r8/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-r8/resolve/main/adapter_model.safetensors
50.4 MB
- Xet hash:
- b74912902bcace637221a64545d758b71b842ec1e05b716f7f9fedd721cf55b2
- Size of remote file:
- 50.4 MB
- SHA256:
- 956a00ded8681da9eebd9e8dc6b0202a4bcd8638af31697b61fdbe593f17d475
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