Instructions to use gg-ai/tiny-bert-0102-4000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gg-ai/tiny-bert-0102-4000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gg-ai/tiny-bert-0102-4000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gg-ai/tiny-bert-0102-4000") model = AutoModelForSequenceClassification.from_pretrained("gg-ai/tiny-bert-0102-4000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b53ea9d8b4487224d448107d03fccea8ad9ca153207b9614fa289e02574601d
- Size of remote file:
- 21.4 MB
- SHA256:
- db727036b6006e48c090ce8f4bf113aa737fe3f7c5e862bc1ced54039e636b60
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