Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/bert-base-uncased-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/bert-base-uncased-stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/bert-base-uncased-stsb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/bert-base-uncased-stsb") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/bert-base-uncased-stsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Add base_model information to model (#2)
- Librarian Bot: Add base_model information to model (6f7ab2c0f1b8896cfbf824bbde9d7262a2d98ee6) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>dc06d12
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (30a75dde5a5b45e171ea74aaf8a096ef3361e0d0) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>84334fc
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update model card README.md
Jeremiah Zhou3cc333b -
End of training
Jeremiah Zhoua64de90 -
update model card README.md
Jeremiah Zhou18c7aff -
Model save
Jeremiah Zhou4e63cd3 -
Training in progress, epoch 3
Jeremiah Zhou58b0059 -
Training in progress, epoch 1
Jeremiah Zhou1dcb268 -
initial commit
Jeremiah Zhouac29321