Text Classification
Transformers
ONNX
Safetensors
English
betterlens_dual_head
feature-extraction
sentiment-analysis
multi-task
distilbert
betterlens
starmatrix
custom_code
Instructions to use starmatrixtechnologies/betterlens-text-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use starmatrixtechnologies/betterlens-text-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="starmatrixtechnologies/betterlens-text-classifier", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("starmatrixtechnologies/betterlens-text-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from starmatrixtechnologies/betterlens-text-classifier: direct link, hf CLI and curl.
- Browser
- Download file 742 kB
-
https://huggingface.co/starmatrixtechnologies/betterlens-text-classifier/resolve/main/tokenizer.json
- Command line
-
hf download hf://starmatrixtechnologies/betterlens-text-classifier/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/starmatrixtechnologies/betterlens-text-classifier/resolve/main/tokenizer.json
742 kB
File too large to display, you can check the raw version instead.