Instructions to use reaprtripr/pretrained_java_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reaprtripr/pretrained_java_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="reaprtripr/pretrained_java_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("reaprtripr/pretrained_java_bert") model = AutoModelForMaskedLM.from_pretrained("reaprtripr/pretrained_java_bert") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
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