Instructions to use Integer-Ctrl/cross-encoder-bert-tiny-51200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Integer-Ctrl/cross-encoder-bert-tiny-51200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Integer-Ctrl/cross-encoder-bert-tiny-51200")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-51200") model = AutoModelForSequenceClassification.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-51200") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93bba3abf58754975ae4654aae988b0f1586062d676b2b57bdb183bd39bfc697
- Size of remote file:
- 17.5 MB
- SHA256:
- 26fdf4caa44f9712ebcbd90fecdb07efb93f0c3b333d90aec9fa6d88392ea269
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