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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9926c1d0b77f8c8944d8a473fb9a828a74885d5bd83729d6743bc32d1eef31a4
- Size of remote file:
- 438 MB
- SHA256:
- cf575dcff65c30becad31f1e358b3c51d7fbb81ebf945812c0aad6265640a50f
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