Instructions to use OliverHeine/google_mobilebert-uncased_fold_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/google_mobilebert-uncased_fold_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/google_mobilebert-uncased_fold_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_2") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 778b470e8c6b905cbfc085d2a2ef973e26e059bc87657194e8db62c3cd630f66
- Size of remote file:
- 5.33 kB
- SHA256:
- 79dcd284fd787119fa1a4b21fab5e10593ecb638f5657137b6e4c1fb2799a113
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