Instructions to use aieng-lab/gpt2_comment-type-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/gpt2_comment-type-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/gpt2_comment-type-java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/gpt2_comment-type-java") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/gpt2_comment-type-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d468a4ab3a4092f7a4a552ff2405bd7b6ab73554709ec10d1a64b67d7945430
- Size of remote file:
- 249 MB
- SHA256:
- 1e66126af3807e07734f1191119a88b7731114bdaceb1c273ad8e14ff1dd7ffd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.