Text Classification
Transformers
PyTorch
TensorBoard
mpnet
Generated from Trainer
text-embeddings-inference
Instructions to use mtyrrell/CPU_Netzero_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtyrrell/CPU_Netzero_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mtyrrell/CPU_Netzero_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mtyrrell/CPU_Netzero_Classifier") model = AutoModelForSequenceClassification.from_pretrained("mtyrrell/CPU_Netzero_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61f2d257ad97abc97f4f642331a4166e9e6c4563b2f84330623473e8115ac5b8
- Size of remote file:
- 4.03 kB
- SHA256:
- a2a5403597a83f857464459b5c12df222c716b784682164db810457103e78f66
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