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:
- 74b18d49f00671103403a69debdcf146a6ba65eadc8bd6972bed0529e90100db
- Size of remote file:
- 881 MB
- SHA256:
- b8591a113fe3ee50b45784491ad89be36cbb7d890bc169cf12016df2f6ece395
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