Instructions to use Fsoft-AIC/dopamin-java-expand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/dopamin-java-expand with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-java-expand")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-java-expand") model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-java-expand", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Fsoft-AIC/dopamin-java-expand: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/Fsoft-AIC/dopamin-java-expand/resolve/main/training_args.bin
- Command line
-
hf download hf://Fsoft-AIC/dopamin-java-expand/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Fsoft-AIC/dopamin-java-expand/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 6a8d129198bb01ed82294b13388c9975f3079267e95607b9d5d90492e2217072
- Size of remote file:
- 4.54 kB
- SHA256:
- daa389d4d719facd6db12fab8587445850c7ecaa3c2b7c1fde46d5e6e7ed59e0
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