Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use HanBi/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HanBi/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HanBi/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HanBi/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("HanBi/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Jun19_11-50-30_df188ebc2425/events.out.tfevents.1687175506.df188ebc2425.3736.0
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