Text Classification
Transformers
PyTorch
TensorBoard
mpnet
Generated from Trainer
text-embeddings-inference
Instructions to use mtyrrell/CPU_Transport_GHG_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtyrrell/CPU_Transport_GHG_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mtyrrell/CPU_Transport_GHG_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mtyrrell/CPU_Transport_GHG_Classifier") model = AutoModelForSequenceClassification.from_pretrained("mtyrrell/CPU_Transport_GHG_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da706006241a490a974a7982eac17d3b9b064b77b3c781e65b950fb4615af18f
- Size of remote file:
- 4.03 kB
- SHA256:
- 774e6b1880c7ea63e7b30ca6917f5d83b910620164aee4299a1ed30414f8c003
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