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
d1mitriz commited on
Commit ·
d02ea6a
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Parent(s): 4305a2a
added proper citation to readme
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README.md
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@@ -69,19 +69,12 @@ If you use the model, please cite the following:
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@ARTICLE{10288436,
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author = {Zaikis, Dimitrios and Vlahavas, Ioannis},
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journal = {IEEE Access},
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title = {From Pre-training to Meta-Learning: A journey in Low-Resource-Language Representation Learning},
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year = {2023},
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volume = {},
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number = {},
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pages = {1-1},
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doi = {10.1109/ACCESS.2023.3326337}
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}
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@ARTICLE{10288436,
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author = {Zaikis, Dimitrios and Vlahavas, Ioannis},
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journal = {IEEE Access},
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title = {From Pre-training to Meta-Learning: A journey in Low-Resource-Language Representation Learning},
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year = {2023},
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volume = {},
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number = {},
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pages = {1-1},
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doi = {10.1109/ACCESS.2023.3326337}
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}
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