Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/bert-base-uncased-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/bert-base-uncased-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/bert-base-uncased-sst2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/bert-base-uncased-sst2") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/bert-base-uncased-sst2", 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 (0e6b192ffbf90f3229fd263de808e79a20a360bf) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>1e672ed
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (482217a7aaa8daefde2960c8cce748f0b448d839) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>681fc31
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update model card README.md
Jeremiah Zhou9d92f27 -
End of training
Jeremiah Zhou60af700 -
update model card README.md
Jeremiah Zhoue8c9195 -
Model save
Jeremiah Zhou70450c2 -
Training in progress, epoch 3
Jeremiah Zhou0769525 -
Training in progress, epoch 2
Jeremiah Zhou8369f76 -
Training in progress, epoch 1
Jeremiah Zhoud4c49b0 -
initial commit
Jeremiah Zhou8abe579