Instructions to use rendchevi/longformer-base-4096-pr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rendchevi/longformer-base-4096-pr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rendchevi/longformer-base-4096-pr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rendchevi/longformer-base-4096-pr") model = AutoModelForSequenceClassification.from_pretrained("rendchevi/longformer-base-4096-pr") - Notebooks
- Google Colab
- Kaggle