Instructions to use xuejinlu/ntu_adl_span_selection_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xuejinlu/ntu_adl_span_selection_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="xuejinlu/ntu_adl_span_selection_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("xuejinlu/ntu_adl_span_selection_roberta") model = AutoModelForQuestionAnswering.from_pretrained("xuejinlu/ntu_adl_span_selection_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba2b2ba2f27925ec9a2ef20d2fb6f8e2c6b121305fd86832a1fcd31413719c0b
- Size of remote file:
- 4.54 kB
- SHA256:
- ae9cb980f94b2f7eee1c7cff8899c031d987c59e2eebf430c0b21ecf12134e09
路
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