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:
- 35574c2bc7bbff5cafdd7fa0195ef88c509914154a038bb8b934b5fe4fa07430
- Size of remote file:
- 600 MB
- SHA256:
- 310b1d7261be97fe835e247952ea52019b57a28c3ccfbe81f55cfea38279964f
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