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 pipeline tag, library name, and links to paper and code
#2
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the
pipeline_tag: feature-extraction, ensuring the model can be found at https://huggingface.co/models?pipeline_tag=feature-extraction. - Adding the
library_name: transformers, which enables the "how to use" widget on the model page. - Adding a direct link to the Hugging Face paper page: https://huggingface.co/papers/2311.02401.
- Adding a direct link to the GitHub repository for easier access to the code.
LGTM
gwtaylor changed pull request status to merged