Instructions to use MiBo/SABERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MiBo/SABERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MiBo/SABERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MiBo/SABERT") model = AutoModelForSequenceClassification.from_pretrained("MiBo/SABERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (29e7e972de9a98c9f235e8756c1c0f7e4d9ea776) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>e2413a4
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track pytorch model and delted tf
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track lfs
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initial commit
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