Instructions to use Integer-Ctrl/cross-encoder-bert-tiny-5120 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-5120 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-5120")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-5120") model = AutoModelForSequenceClassification.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-5120", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Integer-Ctrl/cross-encoder-bert-tiny-5120: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/Integer-Ctrl/cross-encoder-bert-tiny-5120/resolve/main/model.safetensors
- Command line
-
hf download hf://Integer-Ctrl/cross-encoder-bert-tiny-5120/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Integer-Ctrl/cross-encoder-bert-tiny-5120/resolve/main/model.safetensors
17.5 MB
- Xet hash:
- 04e8fa0eeb5deed42564ae117989c9c8f512efb918575a6a3bc5784e32b0d536
- Size of remote file:
- 17.5 MB
- SHA256:
- 6ad6221d5c7a52088ebb35efd395f91c57b7976bf3a46292e6b1bf50bf51be3f
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