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:
- 382d7d5622e4b081824e840202ef1ae051767d823d6bf59c2965367ca73284be
- Size of remote file:
- 600 MB
- SHA256:
- 5a3b3c6de7a827ceb0a0bbdad46ec13b2947c7a16298b99992684c3bde41005b
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