Instructions to use ThuanPhong/ViReaderPlus_ViQuAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuanPhong/ViReaderPlus_ViQuAD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ThuanPhong/ViReaderPlus_ViQuAD")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ThuanPhong/ViReaderPlus_ViQuAD") model = AutoModelForQuestionAnswering.from_pretrained("ThuanPhong/ViReaderPlus_ViQuAD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b131fb1337b7482c2fbb71138455bd3673b75aa1f3067676806883c23bb0607
- Size of remote file:
- 2.27 GB
- SHA256:
- 3684a98ef350a12fbbdf81732c5b204856a58c23d7732fce0cd47e246cc0f133
路
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