Feature Extraction
Transformers
Safetensors
opticaldna
genomics
dna
vision-language
custom-code
custom_code
Instructions to use hxxiang/opticaldna-hg38-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hxxiang/opticaldna-hg38-2048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hxxiang/opticaldna-hg38-2048", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hxxiang/opticaldna-hg38-2048", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Third-Party Notices
OpticalDNA builds on open-source vision-language and document-understanding components. Portions of the model implementation are adapted from DeepSeek-OCR / DeepSeek-V2 style model code and related open-source projects. The corresponding upstream licenses and notices are preserved where included.
Users are responsible for complying with the licenses of all pretrained checkpoints and dependencies they use with this repository.