Instructions to use OliverHeine/bert-large-uncased_fold_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-large-uncased_fold_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-large-uncased_fold_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-large-uncased_fold_4") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-large-uncased_fold_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5899b614e6354f39d6b5d5603d436368c98b523314b32db2fb737d6b121e0616
- Size of remote file:
- 5.84 kB
- SHA256:
- e1785755f001c17fc16c1b0f47bc6658582e2c97fd1e6883c4e5f48b8e18bb03
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