Instructions to use anjandash/JavaBERT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anjandash/JavaBERT-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anjandash/JavaBERT-small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anjandash/JavaBERT-small") model = AutoModelForSequenceClassification.from_pretrained("anjandash/JavaBERT-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8faee14dd757e5c2b3b7010b2f8256ece5402619eba1b231eeff9dee321751cb
- Size of remote file:
- 881 MB
- SHA256:
- 15c64ffa8e646e87c51106b0c4a567189fb6ebdb0324425dc38637e7514f8cd6
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