Instructions to use readerbench/RoBERT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/RoBERT-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("readerbench/RoBERT-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Mihai-Dan MAŞALA (25095) commited on
Commit ·
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Parent(s): 7bd01ab
Update README
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README.md
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@@ -83,7 +83,6 @@ Model | Dialect Classification | MD to RO | RO to MD
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| 83 |
2-CNN + SVM | 93.40 | 65.09 | 75.21
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| 84 |
Char+Word SVM | 96.20 | 69.08 | 81.93
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| 85 |
BiGRU | 93.30 | 70.10 | 80.30
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| 86 |
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multilingual-BERT | 95.34 | 68.76 | 78.24
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| 88 |
XLM-R-base | 96.28 | 69.93 | 8228
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| 89 |
BERT-base-ro | 96.20 | 69.93 | 78.79
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| 83 |
2-CNN + SVM | 93.40 | 65.09 | 75.21
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| 84 |
Char+Word SVM | 96.20 | 69.08 | 81.93
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| 85 |
BiGRU | 93.30 | 70.10 | 80.30
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| 86 |
multilingual-BERT | 95.34 | 68.76 | 78.24
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| 87 |
XLM-R-base | 96.28 | 69.93 | 8228
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| 88 |
BERT-base-ro | 96.20 | 69.93 | 78.79
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