Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use jorgeduardo13/platzi_nlp_model_roberta_similaritytext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jorgeduardo13/platzi_nlp_model_roberta_similaritytext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jorgeduardo13/platzi_nlp_model_roberta_similaritytext")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jorgeduardo13/platzi_nlp_model_roberta_similaritytext") model = AutoModelForSequenceClassification.from_pretrained("jorgeduardo13/platzi_nlp_model_roberta_similaritytext", device_map="auto") - Notebooks
- Google Colab
- Kaggle