Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use jorgeduardo13/platzi_vit_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jorgeduardo13/platzi_vit_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jorgeduardo13/platzi_vit_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jorgeduardo13/platzi_vit_model") model = AutoModelForSequenceClassification.from_pretrained("jorgeduardo13/platzi_vit_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 325 Bytes
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