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:
- b77a716d5e073b67063eb52804f611745159e3079af93d39e85fb4231ee6de07
- Size of remote file:
- 595 MB
- SHA256:
- a2b3340dd9fb368a526317341f819a68290171ebdc1d54dcf75c794365a2314e
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