Instructions to use OliverHeine/bert-base-uncased_fold_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-base-uncased_fold_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-base-uncased_fold_7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-base-uncased_fold_7") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-base-uncased_fold_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a734230e204a85e2426dc4961a847ed2870773f06fc2be6415d173733457677
- Size of remote file:
- 5.27 kB
- SHA256:
- 39c987ba31f68c75ac373831e783b858ac28cb86c80afe6656918bc82c5bca70
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