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:
- 477f9e2ee14a85bcca5d62f2abe77d41f32dd6aac2c0c31ebd927f6b1b7c3624
- Size of remote file:
- 4.03 kB
- SHA256:
- 00e3930bb78cede4143a80f6c8426899d5e84be62a504f0f6271da3fb51a2ced
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