Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use mathildeparlo/ar_base_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathildeparlo/ar_base_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mathildeparlo/ar_base_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mathildeparlo/ar_base_model") model = AutoModelForSequenceClassification.from_pretrained("mathildeparlo/ar_base_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
End of training fe3c7a6
Training in progress, epoch 1 0578926
End of training 1bfde80
Training in progress, epoch 1 a6d062b
initial commit 5c4adf5
Mathilde Parlo commited on