Instructions to use Integer-Ctrl/cross-encoder-bert-tiny-bs-200 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-bs-200 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-bs-200")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-bs-200") model = AutoModelForSequenceClassification.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-bs-200") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b65efe95bdb7db47eb5ff6ff5115b61d8d1c5d315528bc4d602b4043643c009
- Size of remote file:
- 17.5 MB
- SHA256:
- 3383cee8592d8b8dba70b8adb3b419d55a65ece0d46f3d90eb4742ca5638a1f6
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