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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -48,7 +48,7 @@ CritiqueCore v1 is a compact Transformer model trained **from scratch** for sent
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- **Multilingual:** While it shows some intuition for German, it was not explicitly trained on non-English data.
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## How to use (Inference Script)
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## Examples
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### Example 1: Standard movie review
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- **Multilingual:** While it shows some intuition for German, it was not explicitly trained on non-English data.
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## How to use (Inference Script)
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First, you have to download `CritiqueCore_v1_Model.zip` and unpack it. Then, you can use `inference.py` from this repos' files list. Have fun :D
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## Examples
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### Example 1: Standard movie review
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