Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gsl22/testando with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsl22/testando with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gsl22/testando")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gsl22/testando") model = AutoModelForSequenceClassification.from_pretrained("gsl22/testando") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 29
Browse files
pytorch_model.bin
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runs/Sep28_14-21-25_ebe285207607/events.out.tfevents.1695910900.ebe285207607.333.0
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