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:
- 07044933f3c98d8136173afd77b9d8cf60ba8a508b4b88dc9954cd7465c4cf95
- Size of remote file:
- 438 MB
- SHA256:
- c5b690509c8907609b96da41f150a65433e1331ced89cbc9c2d0e89e8fb94d75
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