Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use whoisjones/finerweb-binary-classifier-mdeberta-4o with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whoisjones/finerweb-binary-classifier-mdeberta-4o with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whoisjones/finerweb-binary-classifier-mdeberta-4o")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whoisjones/finerweb-binary-classifier-mdeberta-4o") model = AutoModelForSequenceClassification.from_pretrained("whoisjones/finerweb-binary-classifier-mdeberta-4o") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c595fdd151b3c5434288bcc61e651077bb6a91192f30e9a36bcd28024f78923
- Size of remote file:
- 5.56 kB
- SHA256:
- 011917dd73b32644d2d0242e66c2c2f8f8413654270034fbd8de4f1bb6abc0d4
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