Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Saul98lm/Prueba4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saul98lm/Prueba4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Saul98lm/Prueba4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Saul98lm/Prueba4") model = AutoModelForSequenceClassification.from_pretrained("Saul98lm/Prueba4") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
runs/Sep21_22-55-36_9e46bdd2d2ce/events.out.tfevents.1695339384.9e46bdd2d2ce.5165.6
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