Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-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-C5-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-C5-essay_only-r16") - Notebooks
- Google Colab
- Kaggle
jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-essay_only-r16 / adapter_model.safetensors
Download adapter_model.safetensors from kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-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-C5-essay_only-r16/resolve/7aff4581d95a0f88aed209d487f5099c258eacaa/adapter_model.safetensors
- Command line
-
hf download hf://kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-essay_only-r16@7aff4581d95a0f88aed209d487f5099c258eacaa/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-essay_only-r16/resolve/7aff4581d95a0f88aed209d487f5099c258eacaa/adapter_model.safetensors
101 MB
- Xet hash:
- d1d9048cd5864d9c3a822eda42bbba415597ac65fc84013b7fd8c48567273f2f
- Size of remote file:
- 101 MB
- SHA256:
- 85d731905c73944073b0047e0b9256b4f69b12d997a8b5137cbac225f504b7ca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.