Instructions to use Gilles/FongBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gilles/FongBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Gilles/FongBERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Gilles/FongBERT") model = AutoModel.from_pretrained("Gilles/FongBERT") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -37,7 +37,7 @@ fill(f'wa wazɔ xa {fill.tokenizer.mask_token}')
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**Sentence 2**: un yi wan nu we ɖesu . **Translation**: I love you so much.
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**Masked Sentence**: un yi <"mask"> nu we ɖesu . **Translation**: I <mask> you so much
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[{'score': 0.8948522210121155,
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'sequence': 'un yi wan nu we ɖesu',
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**Sentence 2**: un yi wan nu we ɖesu . **Translation**: I love you so much.
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**Masked Sentence**: un yi <"mask"> nu we ɖesu . **Translation**: I <"mask"> you so much.
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[{'score': 0.8948522210121155,
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'sequence': 'un yi wan nu we ɖesu',
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