Instructions to use OliverHeine/bert-base-uncased_fold_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-base-uncased_fold_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-base-uncased_fold_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-base-uncased_fold_0") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-base-uncased_fold_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6379f736a62261246392c39ff25020bce95e177da871335ea06aa59c34e92dc7
- Size of remote file:
- 5.27 kB
- SHA256:
- 80474253c91db916657c05921ccd662c082ac8f3f49aa3da2bf82dea4645b044
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