Instructions to use OliverHeine/google_mobilebert-uncased_train_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/google_mobilebert-uncased_train_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/google_mobilebert-uncased_train_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/google_mobilebert-uncased_train_v2") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/google_mobilebert-uncased_train_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d5923ff7cd74f80e98e418fff61a1045ae9bec062b3c7b5c3801300bf50859d
- Size of remote file:
- 5.33 kB
- SHA256:
- 7fac2b7412ac9ca3e0c71faca87a861e655d394915f7715acbb9c4922499b0b0
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