Instructions to use ainewtrend07/Normal-bart-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ainewtrend07/Normal-bart-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ainewtrend07/Normal-bart-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ainewtrend07/Normal-bart-classifier") model = AutoModelForSequenceClassification.from_pretrained("ainewtrend07/Normal-bart-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e6b67f73379473b4c71b0cbbe070c29b6eec094d414510295ea0599ebbd6939
- Size of remote file:
- 1.63 GB
- SHA256:
- 0c663bc1d9800f8120e6af8cfb9f3f0b1bcbc6431c1148892e5d7dcaded857f3
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