Instructions to use neulab/codebert-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neulab/codebert-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neulab/codebert-java")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neulab/codebert-java") model = AutoModelForMaskedLM.from_pretrained("neulab/codebert-java", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from neulab/codebert-java: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/neulab/codebert-java/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://neulab/codebert-java@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/neulab/codebert-java/resolve/refs%2Fpr%2F1/model.safetensors
499 MB
- Xet hash:
- ea3676b313bbeacfe08de7f83d7daac599aa45b95b21d996c0211c894646ed0e
- Size of remote file:
- 499 MB
- SHA256:
- 83c23395cb95c62a315b28dd428e2d20c444a0d07b0ce0a66397da870d2a694a
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