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
- Xet hash:
- d402a8a5c3bba4b52e42a0fde9949c9a617beb6407f55d7336f88101642cc69d
- Size of remote file:
- 117 MB
- SHA256:
- 5900a1701efd19b1bab734032d7b820a66ebe708f884d6736870b7722812fe8b
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