Instructions to use OliverHeine/albert-base-v2_fold_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/albert-base-v2_fold_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/albert-base-v2_fold_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/albert-base-v2_fold_6") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/albert-base-v2_fold_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2267f540842e17b547ac62bbaee8fc4435680b8254559d4e691e93bf6f4df4f
- Size of remote file:
- 5.27 kB
- SHA256:
- fc60a870aa9a44c585233759b4527009ee7a5d090a24dfa4655236bf9fae4658
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