Instructions to use OliverHeine/bert-base-uncased_fold_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-base-uncased_fold_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-base-uncased_fold_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-base-uncased_fold_6") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-base-uncased_fold_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7e9ea9ae8d66cee54fa9de0ffc698dd10b87578c13a94266d984df3aa27188d
- Size of remote file:
- 5.27 kB
- SHA256:
- 2cf281db45579645a5c551a066fcd3877d7976a17f349123ed8a5222bb38e1ad
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