Instructions to use OliverHeine/bert-base-uncased_fold_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-base-uncased_fold_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-base-uncased_fold_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-base-uncased_fold_5") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-base-uncased_fold_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b9146ab12e9ccf343a2a7de745d295ad7ddbbac81bb23468aa5c6fa0dd1f35c
- Size of remote file:
- 5.27 kB
- SHA256:
- 61c2bb983de9d2ddd22a66d0dc5e4740dbeeb45f50eaa2c06296aecf13c644b7
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