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
| Base Model: microsoft/mdeberta-v3-base | |
| Dataset: gemma | |
| Problem Type: binary | |
| Learning Rate: 5e-05 | |
| Timestamp: 20250411_140230 | |
| Model ID: gemma-fineweb-edu-scorer-mdeberta-binary-lr5e-05-20250411_140230 | |