Text Classification
Transformers
PyTorch
TensorBoard
vit
image-classification
Generated from Trainer
Instructions to use platzi/model_learning_platzi_luis_diaz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use platzi/model_learning_platzi_luis_diaz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="platzi/model_learning_platzi_luis_diaz")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("platzi/model_learning_platzi_luis_diaz") model = AutoModelForImageClassification.from_pretrained("platzi/model_learning_platzi_luis_diaz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot