Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use mathildeparlo/ben_base_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathildeparlo/ben_base_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mathildeparlo/ben_base_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mathildeparlo/ben_base_model") model = AutoModelForSequenceClassification.from_pretrained("mathildeparlo/ben_base_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress, epoch 1 3db6476
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End of training c5cdc2f
Training in progress, epoch 1 d2437a8
initial commit fa6edb1
Mathilde Parlo commited on