Instructions to use CleveGreen/FieldClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CleveGreen/FieldClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CleveGreen/FieldClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CleveGreen/FieldClassifier") model = AutoModelForSequenceClassification.from_pretrained("CleveGreen/FieldClassifier") - Notebooks
- Google Colab
- Kaggle
CleveGreen commited on
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Parent(s): a063a78
Retrained with lower epoch
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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