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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dilanjt/java-javascript-modelv3") model = AutoModelForMaskedLM.from_pretrained("dilanjt/java-javascript-modelv3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from dilanjt/java-javascript-modelv3: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/dilanjt/java-javascript-modelv3/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://dilanjt/java-javascript-modelv3@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dilanjt/java-javascript-modelv3/resolve/refs%2Fpr%2F1/model.safetensors
499 MB
- Xet hash:
- 2075a99123a101abcf46388e142020166bb8e2ca9f275db3ea26f8fa49fe55ef
- Size of remote file:
- 499 MB
- SHA256:
- 406455fbdbe29c3d21a3b8da66a183f6f84824667b5196c284f5d238b732b91d
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