Instructions to use Integer-Ctrl/cross-encoder-bert-tiny-512 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-512 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-512")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-512") model = AutoModelForSequenceClassification.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Integer-Ctrl/cross-encoder-bert-tiny-512: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/Integer-Ctrl/cross-encoder-bert-tiny-512/resolve/main/model.safetensors
- Command line
-
hf download hf://Integer-Ctrl/cross-encoder-bert-tiny-512/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Integer-Ctrl/cross-encoder-bert-tiny-512/resolve/main/model.safetensors
17.5 MB
- Xet hash:
- 4be5c01eb40fd682c0afa951cc3849834dfc8ae673e7b3994b2b3e82d2b4211f
- Size of remote file:
- 17.5 MB
- SHA256:
- 5ae80e63d93b9631d8fa1eed3a56adc8a8530ad3c04d0ffbe2825ff7552b57c6
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