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:
- 6083e6cfcaed70cf3b598059ad73185511ad53edfa047c75e04cf07f3f86cc79
- Size of remote file:
- 438 MB
- SHA256:
- dc32cc9585c1c17791108e9b14803298b2518f942210502e5ff24ce6a37ba233
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