Instructions to use lukasec/Maverick-Moneyball with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukasec/Maverick-Moneyball with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lukasec/Maverick-Moneyball")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lukasec/Maverick-Moneyball") model = AutoModelForSequenceClassification.from_pretrained("lukasec/Maverick-Moneyball") - Notebooks
- Google Colab
- Kaggle
Maverick-Moneyball
MAV-Moneyball is a submodel of Maverick - please refer to its model card for further information.
Developed in my internship at Vela Partners.
The paper presenting Maverick can be found on my GitHub.
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