Instructions to use abehandlerorg/econbertabstractclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abehandlerorg/econbertabstractclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abehandlerorg/econbertabstractclassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abehandlerorg/econbertabstractclassifier") model = AutoModelForSequenceClassification.from_pretrained("abehandlerorg/econbertabstractclassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc643de3691863472a5562fca3bd1aeed11d403d7ae27c6fb28868d8d63c5e2b
- Size of remote file:
- 268 MB
- SHA256:
- d3808ae7bf122b6fe95b131f06222c6fba13b39bd5c1b87cc158b502875a1475
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