Token Classification
Transformers
Safetensors
generanno
dna
genomics
biology
genome-annotation
custom_code
Instructions to use HuggingFaceBio/Carbon-A-1.2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceBio/Carbon-A-1.2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HuggingFaceBio/Carbon-A-1.2B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("HuggingFaceBio/Carbon-A-1.2B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
4 days ago
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Clarify model documentation and explicitly disable Parquet page indexes
a74a209
12 days ago
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Support CPU inference
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Rename the post-processing option --device to --tcn-device
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20 days ago
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Switch the codon-table warning to a per-group binomial test
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30 days ago
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Add the Carbon-A annotation pipeline and rewrite the model card around it
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