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 scheduler.pt from Fsoft-AIC/dopamin-java-expand: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/Fsoft-AIC/dopamin-java-expand/resolve/main/scheduler.pt
- Command line
-
hf download hf://Fsoft-AIC/dopamin-java-expand/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/Fsoft-AIC/dopamin-java-expand/resolve/main/scheduler.pt
627 Bytes
- Xet hash:
- 5767f4d9a8ab383b582f2c8a5dfbe13390938b37420a4863ce95da3e3654920a
- Size of remote file:
- 627 Bytes
- SHA256:
- 26f062dac82b1cab37ee9f8c1560f56b5e6c70e9975963ce7f156ced1bdc58f3
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