Instructions to use Mishamq/HybriDNA-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mishamq/HybriDNA-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mishamq/HybriDNA-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Fix import path for trust_remote_code loading
Verified signatureReplace `from hf.configuration_hybridna` with relative import `from .configuration_hybridna` so the model loads correctly via AutoModel.from_pretrained(..., trust_remote_code=True).b4d532e
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Update max sequence length to 131,074 bp
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Update model_max_length to 131074
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Update max_position_embeddings to 131074
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Upload config.json with huggingface_hub
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Upload configuration_hybridna.py with huggingface_hub
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Upload modeling_hybridna.py with huggingface_hub
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Upload modeling_hybridna.py with huggingface_hub
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Upload hybridna_tokenizer.py with huggingface_hub
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Upload folder using huggingface_hub
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initial commit
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