Instructions to use cmarkea/bloomz-3b-reranking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmarkea/bloomz-3b-reranking with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cmarkea/bloomz-3b-reranking") model = AutoModelForSequenceClassification.from_pretrained("cmarkea/bloomz-3b-reranking") - 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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@@ -6,7 +6,7 @@ datasets:
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language:
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- fr
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- en
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pipeline_tag:
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base_model:
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- cmarkea/bloomz-3b-dpo-chat
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---
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language:
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- fr
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- en
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+
pipeline_tag: text-ranking
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base_model:
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- cmarkea/bloomz-3b-dpo-chat
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---
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