Instructions to use OliverHeine/google_mobilebert-uncased_fold_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/google_mobilebert-uncased_fold_9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/google_mobilebert-uncased_fold_9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_9") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b2c6ca37d08014d07e9918c4c12ba691e8da76bda689689371fabe775963bce
- Size of remote file:
- 5.33 kB
- SHA256:
- fd1467b1925b57d0f53f612b744c6489204374906431ba86c07ff06e790cdbc9
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