Instructions to use OliverHeine/google_mobilebert-uncased_fold_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/google_mobilebert-uncased_fold_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/google_mobilebert-uncased_fold_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_6") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6138faaa311b92ce72ff25530e1c46ce31019772f482714bb5f8ff43228b7c2
- Size of remote file:
- 5.33 kB
- SHA256:
- aa6b6d6fe984d4d3815684dfbb77200eb01361dfe7034233a71697c490a5adad
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