Instructions to use OliverHeine/bert-large-uncased_fold_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-large-uncased_fold_9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-large-uncased_fold_9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-large-uncased_fold_9") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-large-uncased_fold_9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 763262f0eb05a2a392d59b3b14caee849e1de91bd2343526452f62a89995cf25
- Size of remote file:
- 5.84 kB
- SHA256:
- 6808504f7549751e2d2a2e2d5e7ac41c0584692366c13e4648c05eeb7b6c40e7
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