Instructions to use artefactory/BERTJudge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artefactory/BERTJudge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="artefactory/BERTJudge", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("artefactory/BERTJudge", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("artefactory/BERTJudge", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8680ab3526b9114c815050a93f64d7b9ad60be1277e31e406b13d9772b74465
- Size of remote file:
- 17.2 MB
- SHA256:
- 33dc457f2068683eb5d5f368d64903dabd0922aa5b8c647431e2cb7fd0492f6d
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