Instructions to use cassanof/code-scorer-complexity-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cassanof/code-scorer-complexity-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cassanof/code-scorer-complexity-java")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cassanof/code-scorer-complexity-java") model = AutoModelForSequenceClassification.from_pretrained("cassanof/code-scorer-complexity-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from cassanof/code-scorer-complexity-java: direct link, hf CLI and curl.
- Browser
- Download file 497 MB
-
https://huggingface.co/cassanof/code-scorer-complexity-java/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://cassanof/code-scorer-complexity-java@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/cassanof/code-scorer-complexity-java/resolve/refs%2Fpr%2F1/model.safetensors
497 MB
- Xet hash:
- bd9f6138ba6e8d7a5ae1e4388b02232712b1172271cf9a974cef525e829a11b6
- Size of remote file:
- 497 MB
- SHA256:
- 5cc276dd2e5682ed7e071b318c24284703d246dda2d2ff75f36c82933ece178b
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