Instructions to use UnlikelyAI/crossencoder-wiki-large-ft-k10-0.2test-b1g8-e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UnlikelyAI/crossencoder-wiki-large-ft-k10-0.2test-b1g8-e2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="UnlikelyAI/crossencoder-wiki-large-ft-k10-0.2test-b1g8-e2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("UnlikelyAI/crossencoder-wiki-large-ft-k10-0.2test-b1g8-e2") model = AutoModelForMaskedLM.from_pretrained("UnlikelyAI/crossencoder-wiki-large-ft-k10-0.2test-b1g8-e2") - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking`
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by tomaarsen HF Staff - opened
README.md
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@@ -3,6 +3,7 @@ language:
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metrics:
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- accuracy
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---
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Fine-Tuned [BLINK](https://github.com/facebookresearch/blink/) CrossEncoder.
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metrics:
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- accuracy
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pipeline_tag: text-ranking
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---
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Fine-Tuned [BLINK](https://github.com/facebookresearch/blink/) CrossEncoder.
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