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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9bd7193d1d950b57fab60a42590a76701e86798cb09984a4da766cffae13912
- Size of remote file:
- 623 Bytes
- SHA256:
- 00f19f3443fa68df47a4d4adad8bf0004a93170b3b8916e34a300491882a5702
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