Instructions to use OliverHeine/google_mobilebert-uncased_fold_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/google_mobilebert-uncased_fold_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/google_mobilebert-uncased_fold_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_1") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f32d93b31d236813343e1a54405a6294522fbe508039e4835cbe8a73467dcec
- Size of remote file:
- 5.33 kB
- SHA256:
- 996c6fcc3a04448c1bc4a1489ecf12da21588c4645dbd82d40705602d4955271
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