Instructions to use elifftosunn/Bert-Bank-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elifftosunn/Bert-Bank-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="elifftosunn/Bert-Bank-Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("elifftosunn/Bert-Bank-Model") model = AutoModelForSequenceClassification.from_pretrained("elifftosunn/Bert-Bank-Model") - 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 sha256:2250f4a73dab3e85d405f8c20ad35c4162f8cc7ecc2afbc3479f04c1de4ace2d
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size 737433718
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