Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use ElMad/victorious-moose-736 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/victorious-moose-736 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/victorious-moose-736")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/victorious-moose-736") model = AutoModelForSequenceClassification.from_pretrained("ElMad/victorious-moose-736") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc20668929e388ceb0d33c87f6e5ee47a1ec2bf3730b91f14317d2693de54d65
- Size of remote file:
- 5.5 kB
- SHA256:
- fac45571810bd7b1506d1c20cc9fe144812f0b3a14f0ac44599e5dc0c628e7ca
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