Instructions to use OliverHeine/bert-large-uncased_fold_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-large-uncased_fold_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-large-uncased_fold_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-large-uncased_fold_1") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-large-uncased_fold_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb9e24f25c1bd90234814715fb3a05ccc0fb3a40965e895a9e2dda055b8fd1c6
- Size of remote file:
- 5.84 kB
- SHA256:
- b465b5bf5f7f3d26826209acf37030424fee93f5b93e6e30109ca44615f98f20
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