Instructions to use abehandlerorg/econbertcausalsentenceclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abehandlerorg/econbertcausalsentenceclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abehandlerorg/econbertcausalsentenceclassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abehandlerorg/econbertcausalsentenceclassifier") model = AutoModelForSequenceClassification.from_pretrained("abehandlerorg/econbertcausalsentenceclassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 398b34c6fe1f5c4ce3f81389036b4fe07ee5cb42462ff0f44cd3266dc4f769f9
- Size of remote file:
- 268 MB
- SHA256:
- 1585bf3f214dbea9c6b658f318dde8dcbb45463f649d839c86bdc1b8a1dcb20c
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