Text Classification
Transformers
English
bert
minbert
trainsformer
sentiment
tokenizer
classification
Instructions to use GlowCheese/minBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GlowCheese/minBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GlowCheese/minBERT")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GlowCheese/minBERT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26568c97bac8ec9dc0847c9aed6c8887d3b10c4a790fcbea823d465aac3ae242
- Size of remote file:
- 142 kB
- SHA256:
- 9c6e0e9881f1b398abe3e439a482f4686305c3784568c462f6bba58bdff03b0a
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