Instructions to use gianma/classifierEUtopLevelBDWdIntRebalanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelBDWdIntRebalanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelBDWdIntRebalanced")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelBDWdIntRebalanced") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelBDWdIntRebalanced", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
d5598f5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fb37f73fc9af1b75aad95002d87d498cde905051def75e863903271de68644ad
size 444393525
|