Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Jhandry/roberta-base-bne-finetuned-amazon_practica with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jhandry/roberta-base-bne-finetuned-amazon_practica with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jhandry/roberta-base-bne-finetuned-amazon_practica")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jhandry/roberta-base-bne-finetuned-amazon_practica") model = AutoModelForSequenceClassification.from_pretrained("Jhandry/roberta-base-bne-finetuned-amazon_practica") - Notebooks
- Google Colab
- Kaggle
Ctrl+K