Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use edbeeching/test-trainer-to-hub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edbeeching/test-trainer-to-hub with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edbeeching/test-trainer-to-hub")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edbeeching/test-trainer-to-hub") model = AutoModelForSequenceClassification.from_pretrained("edbeeching/test-trainer-to-hub") - Notebooks
- Google Colab
- Kaggle
Commit ·
47c8fe9
1
Parent(s): 5ce2703
End of training
Browse files
runs/Feb11_11-33-02_AORUS/events.out.tfevents.1644575591.AORUS
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