Text Classification
Transformers
PyTorch
English
longformer
macroeconomics
automated summary evaluation
content
Instructions to use wesleymorris/longformer-content-global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wesleymorris/longformer-content-global with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wesleymorris/longformer-content-global")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wesleymorris/longformer-content-global") model = AutoModelForSequenceClassification.from_pretrained("wesleymorris/longformer-content-global") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:2d8f85142f43e7d8e168e67e02e0805187ae4d39598722104f34b30362c37dc6
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size 594675108
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