Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C4-full_context-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-C4-full_context-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-C4-full_context-r8") - Notebooks
- Google Colab
- Kaggle
jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C4-full_context-r8 / adapter_model.safetensors
Download adapter_model.safetensors from kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C4-full_context-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-C4-full_context-r8/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C4-full_context-r8/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C4-full_context-r8/resolve/main/adapter_model.safetensors
50.4 MB
- Xet hash:
- 647736b1ede63526599380a34b79e778c0d29bcca7bf8463e92e7ff0fad204b6
- Size of remote file:
- 50.4 MB
- SHA256:
- 75abb41d46d9dc1d7c52fb958b136e83eaee42df86a270eb30c4c03ae24a725f
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