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:
- a898a9a8aac8f4df47c3f050ff7bc7f0b82f8999f22d5db32b006710a6e4a2a0
- Size of remote file:
- 249 kB
- SHA256:
- 3087f571b66860fe5d035b5a018d08202ad3fd3720e4821c04b2acf6c7ded559
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