Instructions to use laiBatool/tiny-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laiBatool/tiny-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="laiBatool/tiny-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("laiBatool/tiny-bert") model = AutoModelForSequenceClassification.from_pretrained("laiBatool/tiny-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92dda2fafcf450f45439a103796aba17b008b1a73238dae83192c9a8e3e69ea0
- Size of remote file:
- 16.8 MB
- SHA256:
- ca5b240f6e7e2685cd8ea7e1b85bf3cc24baa27fb5ffde67feca66b8c8434fd2
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