Text Classification
Transformers
PyTorch
Enawené-Nawé
distilbert
Trained with AutoTrain
text-embeddings-inference
Instructions to use PavelDanek/s2g_class_cours with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PavelDanek/s2g_class_cours with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PavelDanek/s2g_class_cours")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PavelDanek/s2g_class_cours") model = AutoModelForSequenceClassification.from_pretrained("PavelDanek/s2g_class_cours") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot