Instructions to use OliverHeine/bert-large-uncased_fold_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-large-uncased_fold_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-large-uncased_fold_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-large-uncased_fold_5") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-large-uncased_fold_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c79b05ebb248dc7bf4bad3062b872b83dfdd348de2c9452a7d35a12cfc75cff3
- Size of remote file:
- 5.84 kB
- SHA256:
- adf6e83fe1fced202532dbacb4cdc73dd57e6d4f5aa9562a8c664fb15528f9ed
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