Instructions to use Corianas/EnglishRanker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Corianas/EnglishRanker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Corianas/EnglishRanker")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Corianas/EnglishRanker") model = AutoModelForSequenceClassification.from_pretrained("Corianas/EnglishRanker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Corianas/EnglishRanker: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Corianas/EnglishRanker/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Corianas/EnglishRanker/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Corianas/EnglishRanker/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 37e3ab53f110c288e9243e516915040197461028baa3ea47d999dfe9664b7e8b
- Size of remote file:
- 268 MB
- SHA256:
- bb1f348cd9bba3488f1cb64230e644b3c23917d124052280d6010898d6e2f203
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