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:
- b63901923af477493b0679904c6c2dd456a5867e51980b95079c7a1b0ba873c9
- Size of remote file:
- 600 MB
- SHA256:
- ae841c3dfdaef7605e51056105c3d361313b0140ec7d15788da2133c3b45f9d7
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