Instructions to use Maldak123/TOTVS_Churn_Risk_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maldak123/TOTVS_Churn_Risk_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Maldak123/TOTVS_Churn_Risk_V2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Maldak123/TOTVS_Churn_Risk_V2") model = AutoModelForSequenceClassification.from_pretrained("Maldak123/TOTVS_Churn_Risk_V2") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
e13c9a2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5516f5851d11085894670444e1d3d95d8d116beaab9e5041ce53b2c28e547b1a
size 5201
|