Instructions to use Taykhoom/CodonBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/CodonBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/CodonBERT", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/CodonBERT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add model_max_length to config.json
Browse files- config.json +2 -1
config.json
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"pad_token_id": 0,
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"type_vocab_size": 2,
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"vocab_size": 69,
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"transformers_version": "4.57.6"
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}
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"pad_token_id": 0,
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"type_vocab_size": 2,
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"vocab_size": 69,
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"transformers_version": "4.57.6",
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"model_max_length": 1024
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}
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