Instructions to use LibrAI/longformer-action-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LibrAI/longformer-action-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LibrAI/longformer-action-ro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LibrAI/longformer-action-ro") model = AutoModelForSequenceClassification.from_pretrained("LibrAI/longformer-action-ro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3214741bdea832735d96e7afaf6d92da08340cea7a2004f9727ba5f64a39e597
- Size of remote file:
- 3.96 kB
- SHA256:
- ca9c4b5a81feb374684c4f694e4f42e775ca739ba72ef7e587db44cafb211ded
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