Instructions to use havens2/scBERT_SER3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use havens2/scBERT_SER3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="havens2/scBERT_SER3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("havens2/scBERT_SER3") model = AutoModelForTokenClassification.from_pretrained("havens2/scBERT_SER3") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:37f477f8e3d12b7af399a24b0699cee116291765418a80834147f9bee7f5fb5a
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size 437385160
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