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
- Xet hash:
- b31c7b1583e2a1565ff3167a27fb0d3b39fb21763923c450c7091e1d6d61007c
- Size of remote file:
- 5.56 kB
- SHA256:
- 056aaadc4cf2a14aae145e5dc8e1c7c35e9f5ef785f20eb72c83ed669016191f
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