Text Classification
Transformers
English
genomics
dna
sequence-classification
nucleotide-transformer
fine-tuning
bioinformatics
Eval Results (legacy)
Instructions to use ankur0050/nucleotide-transformer-v2-50m-genomicbenchmarks-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ankur0050/nucleotide-transformer-v2-50m-genomicbenchmarks-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ankur0050/nucleotide-transformer-v2-50m-genomicbenchmarks-ft")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ankur0050/nucleotide-transformer-v2-50m-genomicbenchmarks-ft", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add LinkedIn + GitHub links to card footer
Browse files
README.md
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Developed by **Ankur Sharma**.
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*This is a personal open-source project, developed independently in a personal capacity. It is not affiliated with, endorsed by, or representative of any current or former employer, and uses only public models and public benchmark datasets. All views and results are the author's own.*
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Developed by **Ankur Sharma** — [GitHub](https://github.com/ankurgenomics) · [LinkedIn](https://linkedin.com/in/ankurit)
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Code and full results: [github.com/ankurgenomics/genome-ft](https://github.com/ankurgenomics/genome-ft)
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*This is a personal open-source project, developed independently in a personal capacity. It is not affiliated with, endorsed by, or representative of any current or former employer, and uses only public models and public benchmark datasets. All views and results are the author's own.*
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