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