Text Ranking
Transformers
Safetensors
sentence-transformers
Arabic
bert
text-classification
reranking
text-embeddings-inference
Instructions to use NAMAA-Space/GATE-Reranker-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NAMAA-Space/GATE-Reranker-V1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NAMAA-Space/GATE-Reranker-V1") model = AutoModelForSequenceClassification.from_pretrained("NAMAA-Space/GATE-Reranker-V1") - sentence-transformers
How to use NAMAA-Space/GATE-Reranker-V1 with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("NAMAA-Space/GATE-Reranker-V1") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores) - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking`
Browse filesHello!
## Pull Request overview
* Update metadata to set pipeline tag to the new `text-ranking`
## Changes
This is an automated pull request to update the metadata of the model card. We recently introduced the [`text-ranking`](https://huggingface.co/models?pipeline_tag=text-ranking) pipeline tag for models that are used for ranking tasks, and we have a suspicion that this model is one of them.
Feel free to respond if you have questions or concerns.
- Tom Aarsen
README.md
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license: apache-2.0
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language:
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- ar
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pipeline_tag: text-
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library_name: transformers
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base_model:
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- Omartificial-Intelligence-Space/GATE-AraBert-v1
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license: apache-2.0
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language:
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- ar
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pipeline_tag: text-ranking
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library_name: transformers
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base_model:
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- Omartificial-Intelligence-Space/GATE-AraBert-v1
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