Instructions to use anjandash/JavaBERT-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anjandash/JavaBERT-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anjandash/JavaBERT-mini")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anjandash/JavaBERT-mini") model = AutoModelForSequenceClassification.from_pretrained("anjandash/JavaBERT-mini") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2015c1ef37db1a0b48731dc8bdeef7d11bf259eee26b067b95ea38dd7af1f4be
- Size of remote file:
- 15.5 kB
- SHA256:
- c63473cbc227f7e033c718d5fe751c9fc06b04c77f134c7501e3dfea031f4a61
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