Feature Extraction
Transformers
PyTorch
TensorFlow
Safetensors
Greek
longformer
text
language-modeling
Instructions to use dimitriz/greek-media-longformer-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dimitriz/greek-media-longformer-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dimitriz/greek-media-longformer-4096")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dimitriz/greek-media-longformer-4096") model = AutoModel.from_pretrained("dimitriz/greek-media-longformer-4096") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 283be51baeb648e48a44a892a8cefd1ba46941d947534d3fc9f2bf46746c4fe9
- Size of remote file:
- 595 MB
- SHA256:
- a581b6fd2919d140b593ee81fee7078311b9e00f6effd5cec2bf0c51f2963a9e
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