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:
- 88f905d8cc995195f9c9ee17eaf0f636d44ead4ea78ec5027284f97c17800a42
- Size of remote file:
- 559 Bytes
- SHA256:
- 6e7c32d009e082d64df2d932bfa47a085fa94a846f8738f93ddbbcf35c4de54d
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