Token Classification
Transformers
Safetensors
big_bird
fill-mask
CodonTransformer
Computational Biology
Machine Learning
Bioinformatics
Synthetic Biology
biology
Instructions to use adibvafa/CodonTransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adibvafa/CodonTransformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="adibvafa/CodonTransformer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("adibvafa/CodonTransformer") model = AutoModelForMaskedLM.from_pretrained("adibvafa/CodonTransformer") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -22,7 +22,7 @@ Adibvafa Fallahpour<sup>1,2</sup>\*, Vincent Gureghian<sup>3</sup>\*, Guillaume
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<sup>2</sup> University of Toronto Scarborough; Department of Biological Science; Scarborough ON, Canada
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<sup>3</sup> Université Paris Cité, INSERM U1284, Center for Research and Interdisciplinarity, F-75006 Paris, France
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\* These authors contributed equally to this work.
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‡ To whom correspondence should be addressed:
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guillaume.filion@utoronto.ca, ariel.lindner@inserm.fr, amir.pandi@cri-paris.org
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<br>
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<sup>2</sup> University of Toronto Scarborough; Department of Biological Science; Scarborough ON, Canada
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<sup>3</sup> Université Paris Cité, INSERM U1284, Center for Research and Interdisciplinarity, F-75006 Paris, France
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\* These authors contributed equally to this work.
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‡ To whom correspondence should be addressed: <br>
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guillaume.filion@utoronto.ca, ariel.lindner@inserm.fr, amir.pandi@cri-paris.org
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<br>
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