Text Classification
Transformers
English
sentiment-analysis
classification
from-scratch
Eval Results (legacy)
Instructions to use LH-Tech-AI/CritiqueCore_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LH-Tech-AI/CritiqueCore_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LH-Tech-AI/CritiqueCore_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LH-Tech-AI/CritiqueCore_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download CritiqueCore_v1_Model.zip from LH-Tech-AI/CritiqueCore_v1: direct link, hf CLI and curl.
- Browser
- Download file 33.9 MB
-
https://huggingface.co/LH-Tech-AI/CritiqueCore_v1/resolve/main/CritiqueCore_v1_Model.zip
- Command line
-
hf download hf://LH-Tech-AI/CritiqueCore_v1/CritiqueCore_v1_Model.zip
-
curl -L -o CritiqueCore_v1_Model.zip https://huggingface.co/LH-Tech-AI/CritiqueCore_v1/resolve/main/CritiqueCore_v1_Model.zip
33.9 MB
- Xet hash:
- d4e9b02bee897aa2c0d18188020048b29c4424cbc6200d2308202cafe0cdd7fc
- Size of remote file:
- 33.9 MB
- SHA256:
- 7ca4c6d6933ebb8b93dd4525f5f4c9bc04fcec04560d9967d24f90d1758000d3
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