Instructions to use heliart/Verdict_Recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heliart/Verdict_Recognizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="heliart/Verdict_Recognizer")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("heliart/Verdict_Recognizer") model = AutoModelForQuestionAnswering.from_pretrained("heliart/Verdict_Recognizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b73046004437c8b40baeddf25070a1054d9f0283ad36d9d32c2f1a4145f2eaf
- Size of remote file:
- 39.9 MB
- SHA256:
- 3058e73091b20446a2622800c576e820ee5ac7b8b971554b87e21cefe7113f85
路
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