Instructions to use gg-ai/tiny-bert-0102-5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gg-ai/tiny-bert-0102-5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gg-ai/tiny-bert-0102-5000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gg-ai/tiny-bert-0102-5000") model = AutoModelForSequenceClassification.from_pretrained("gg-ai/tiny-bert-0102-5000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b53daf2ea8c9e998140f87390af875188f4aacd8c1082644821336797f0492fe
- Size of remote file:
- 21.4 MB
- SHA256:
- d85831087dcd9b6f3f1732f6338ce5d0a2bd8d044a2fcebff51343a5c68d7c8a
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