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:
- a986c9dfa0d56486280897899322962b37cbf76843b3a0a7983e86307cff46ce
- Size of remote file:
- 4.03 kB
- SHA256:
- 1fb3682552ddea4c6fb64e21e267f9461351557becc4803cdfdf74e46382ca34
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