Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use jmLuis/Bert-SBP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmLuis/Bert-SBP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jmLuis/Bert-SBP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jmLuis/Bert-SBP") model = AutoModelForSequenceClassification.from_pretrained("jmLuis/Bert-SBP") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf964b7983e1581b38e1bf9a54b6ce3bfa3b788512fc20df11ec222d93328ced
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size 433314940
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