Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use whoisjones/finerweb-binary-classifier-mdeberta-gemma3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whoisjones/finerweb-binary-classifier-mdeberta-gemma3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whoisjones/finerweb-binary-classifier-mdeberta-gemma3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whoisjones/finerweb-binary-classifier-mdeberta-gemma3") model = AutoModelForSequenceClassification.from_pretrained("whoisjones/finerweb-binary-classifier-mdeberta-gemma3") - Notebooks
- Google Colab
- Kaggle
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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
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It achieves the following results on the evaluation set:
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# finerweb-binary-classifier-mdeberta-gemma3
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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
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It achieves the following results on the evaluation set:
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