Instructions to use OliverHeine/google_mobilebert-uncased_fold_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/google_mobilebert-uncased_fold_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/google_mobilebert-uncased_fold_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_3") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cdf389e882c16ba6ff5550321bf16085993641f31a3669c9e316bf2f1b3b314
- Size of remote file:
- 5.33 kB
- SHA256:
- 9802ad350a264d3300851cb49299b7f20fda9c0fa6c4d15a6b80583bf4596831
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