Instructions to use havens2/scBERT_SER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use havens2/scBERT_SER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="havens2/scBERT_SER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("havens2/scBERT_SER") model = AutoModelForTokenClassification.from_pretrained("havens2/scBERT_SER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f81dd5ee7e5eb2dc43947a92d693fc74a65a363150b30c816828d25a1353166
- Size of remote file:
- 437 MB
- SHA256:
- b61aaa6066bc2fadaa834c4999d61f04567aa721fa576357e512a2906a36b876
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