Text Classification
Transformers
English
bert
minbert
transformer
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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fe11542c3113cf348525629ece5e20e3ecf3fd16a24b9d1a351102af32cf580
- Size of remote file:
- 151 kB
- SHA256:
- a186ce94577635fbe10beaaddd50f16cccf6c30973221cefdf90deed2a584bfe
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