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:
- 40e2cf0e860a8e54c687c05e7538934bec0204fd41dc0635e0fe9f2723ba428f
- Size of remote file:
- 152 Bytes
- SHA256:
- 77b817e0dce16a9bc8d3a6bcb88035db68f7d783dc8a565737581fadd05db815
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