Instructions to use maud-dr/model_2_stage3-seed_42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maud-dr/model_2_stage3-seed_42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maud-dr/model_2_stage3-seed_42")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maud-dr/model_2_stage3-seed_42") model = AutoModelForSequenceClassification.from_pretrained("maud-dr/model_2_stage3-seed_42") - Notebooks
- Google Colab
- Kaggle
Ctrl+K