Instructions to use OliverHeine/bert-large-uncased_fold_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-large-uncased_fold_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-large-uncased_fold_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-large-uncased_fold_3") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-large-uncased_fold_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 776921d9488cf35ac5b71d7f8101fda4a392673dc497d71cd8718b0f481ea06a
- Size of remote file:
- 5.84 kB
- SHA256:
- 0c58aab70ec33252dceb25c04f6a625e9dcb60c9b5f044e8af81335e4268ff8d
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