Instructions to use OliverHeine/albert-base-v2_fold_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/albert-base-v2_fold_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/albert-base-v2_fold_7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/albert-base-v2_fold_7") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/albert-base-v2_fold_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d64b7ff4d142aed8e5e6358af73fc72ddc434d70cd4395b45e76de365921f9b
- Size of remote file:
- 5.27 kB
- SHA256:
- 99ab6de0e1002b91e41d148fe46a304fbaeee601171b04a14039b86173f069a1
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