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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LH-Tech-AI/CritiqueCore_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train.ipynb from LH-Tech-AI/CritiqueCore_v1: direct link, hf CLI and curl.
- Browser
- Download file 17.4 kB
-
https://huggingface.co/LH-Tech-AI/CritiqueCore_v1/resolve/main/train.ipynb
- Command line
-
hf download hf://LH-Tech-AI/CritiqueCore_v1/train.ipynb
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curl -L -o train.ipynb https://huggingface.co/LH-Tech-AI/CritiqueCore_v1/resolve/main/train.ipynb
17.4 kB