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
File size: 133 Bytes
43a7fa2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3383cee8592d8b8dba70b8adb3b419d55a65ece0d46f3d90eb4742ca5638a1f6
size 17548796
|