Text Classification
Transformers
English
sentiment-analysis
classification
from-scratch
multi-domain
Eval Results (legacy)
Instructions to use LH-Tech-AI/VibeCheck_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LH-Tech-AI/VibeCheck_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LH-Tech-AI/VibeCheck_v1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LH-Tech-AI/VibeCheck_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3c92ce6edcd105bf0c2a7c8fb53de1abf889413716b172d2fd2ccf1e1a04f1a
- Size of remote file:
- 41.7 MB
- SHA256:
- 458c187c494779309d7ac9a5724286738e5f22cd09249857c74b7e84d1da836a
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