Text Classification
Transformers
Safetensors
bert
Generated from Trainer
regression
Eval Results (legacy)
text-embeddings-inference
Instructions to use agentlans/bge-small-en-text-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agentlans/bge-small-en-text-quality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agentlans/bge-small-en-text-quality")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agentlans/bge-small-en-text-quality") model = AutoModelForSequenceClassification.from_pretrained("agentlans/bge-small-en-text-quality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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library_name: transformers
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license: mit
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base_model: BAAI/bge-small-en-v1.5
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dataset: agentlans/
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tags:
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- generated_from_trainer
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- text-classification
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This model evaluates English language text quality by mapping text inputs to a continuous quality score.
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It is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) optimized on the [agentlans/
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### Evaluation Performance
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* **Validation Loss:** 0.1176
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library_name: transformers
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license: mit
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base_model: BAAI/bge-small-en-v1.5
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dataset: agentlans/text-quality-v3
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tags:
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- generated_from_trainer
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- text-classification
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This model evaluates English language text quality by mapping text inputs to a continuous quality score.
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It is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) optimized on the [agentlans/text-quality-v3](https://huggingface.co/datasets/agentlans/text-quality-v3) dataset for text quality regression.
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### Evaluation Performance
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* **Validation Loss:** 0.1176
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