Instructions to use aieng-lab/roberta-large_comment-type-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/roberta-large_comment-type-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/roberta-large_comment-type-java")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/roberta-large_comment-type-java") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/roberta-large_comment-type-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from aieng-lab/roberta-large_comment-type-java: direct link, hf CLI and curl.
- Browser
- Download file 711 MB
-
https://huggingface.co/aieng-lab/roberta-large_comment-type-java/resolve/main/model.safetensors
- Command line
-
hf download hf://aieng-lab/roberta-large_comment-type-java/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/aieng-lab/roberta-large_comment-type-java/resolve/main/model.safetensors
711 MB
- Xet hash:
- 22fc945cea2a5cdf1b5c8f6c52987741f97b5b616569dc2a23b9818d0dea96b2
- Size of remote file:
- 711 MB
- SHA256:
- 3f7e51f33bc11e1245d524531db126a85f6f57d059ab6c84eee2814c4cd8c6bd
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