Instructions to use dilanjt/java-javascript-modelv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dilanjt/java-javascript-modelv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dilanjt/java-javascript-modelv3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dilanjt/java-javascript-modelv3") model = AutoModelForMaskedLM.from_pretrained("dilanjt/java-javascript-modelv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2075a99123a101abcf46388e142020166bb8e2ca9f275db3ea26f8fa49fe55ef
- Size of remote file:
- 499 MB
- SHA256:
- 406455fbdbe29c3d21a3b8da66a183f6f84824667b5196c284f5d238b732b91d
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