Instructions to use cestwc/bert-binary-hdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cestwc/bert-binary-hdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cestwc/bert-binary-hdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cestwc/bert-binary-hdb") model = AutoModelForSequenceClassification.from_pretrained("cestwc/bert-binary-hdb") - 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 sha256:0ada803c1970c40512604a36e6590d2402819aabc9069320461e66510e5a890b
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size 437992484
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