Instructions to use OliverHeine/bert-base-uncased_fold_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-base-uncased_fold_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-base-uncased_fold_8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-base-uncased_fold_8") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-base-uncased_fold_8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 081fbc9ec5af00e34f820be33280e5d7378a6347c67676109a8c3b56a50c9263
- Size of remote file:
- 5.27 kB
- SHA256:
- 2c8c9726c1fe216d2d78f3de1bfe5b0ff503cc26b6ad72d20a54dff4707f9e6a
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