Instructions to use OliverHeine/bert-large-uncased_fold_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-large-uncased_fold_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-large-uncased_fold_8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-large-uncased_fold_8") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-large-uncased_fold_8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 613c4c12b17f7330182e006c288a73553c5fde73f69470a098194a2c5322e428
- Size of remote file:
- 5.84 kB
- SHA256:
- 54ede65ecf4f4a4ed6222b781cb85af68c7c88b4dfc3043944d7d0dc83892153
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