Instructions to use OliverHeine/google_mobilebert-uncased_fold_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/google_mobilebert-uncased_fold_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/google_mobilebert-uncased_fold_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_4") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4bcd025bdbc46e1fdfdef6a4131af20e6571d83161b3111ddf96a82c2873518
- Size of remote file:
- 5.33 kB
- SHA256:
- c16eab357aec676d2a4598cfc392622382119f0dd08f717d5319b15e19725b58
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