Instructions to use OliverHeine/google_mobilebert-uncased_fold_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/google_mobilebert-uncased_fold_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/google_mobilebert-uncased_fold_7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_7") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c05946319d3096fcba8862658c6904b942e3e2f597b7c82eee51f750b89299d6
- Size of remote file:
- 5.33 kB
- SHA256:
- c753a5c3a97d81f9a729c1503eb2f406caca80569dc7110ebeba032aad50f543
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