Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Dulfary/platzi-distilroberta-base-mrpc-glue-prueba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dulfary/platzi-distilroberta-base-mrpc-glue-prueba with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dulfary/platzi-distilroberta-base-mrpc-glue-prueba")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Dulfary/platzi-distilroberta-base-mrpc-glue-prueba") model = AutoModelForSequenceClassification.from_pretrained("Dulfary/platzi-distilroberta-base-mrpc-glue-prueba", device_map="auto") - Notebooks
- Google Colab
- Kaggle