Text Classification
Transformers
PyTorch
TensorBoard
mpnet
Generated from Trainer
text-embeddings-inference
Instructions to use mtyrrell/CPU_Target_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtyrrell/CPU_Target_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mtyrrell/CPU_Target_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mtyrrell/CPU_Target_Classifier") model = AutoModelForSequenceClassification.from_pretrained("mtyrrell/CPU_Target_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25c42f7c3ad1f991574db86fe8242e7d1fec6025b1a0934c7f23ecec3b196acd
- Size of remote file:
- 438 MB
- SHA256:
- 6df95b1a2f97d159318c7ca2651275dfde0189527904af880b9720e6e4330b65
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