Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use alejoa/bert-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alejoa/bert-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alejoa/bert-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alejoa/bert-sst2") model = AutoModelForSequenceClassification.from_pretrained("alejoa/bert-sst2") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Nov22_23-59-48_Alejandros-MacBook-Pro-86520.local/events.out.tfevents.1700726392.Alejandros-MacBook-Pro-86520.local.77722.0
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