Feature Extraction
Transformers
PyTorch
Safetensors
English
bert
token-classification
text-embeddings-inference
Instructions to use bioscan-ml/BarcodeBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bioscan-ml/BarcodeBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bioscan-ml/BarcodeBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bioscan-ml/BarcodeBERT") model = AutoModelForTokenClassification.from_pretrained("bioscan-ml/BarcodeBERT") - Notebooks
- Google Colab
- Kaggle
Add short model description
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by annaviklund - opened
README.md
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license: mit
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pipeline_tag: feature-extraction
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library_name: transformers
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# BarcodeBERT for Taxonomic Classification
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license: mit
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pipeline_tag: feature-extraction
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library_name: transformers
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description: "Pretrained weights for BarcodeBERT, a transformer for insect DNA barcode inference."
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# BarcodeBERT for Taxonomic Classification
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