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:
- 0d9fc40d4fab9dd8d9877f1a771a9dd016d3754f2e29094b473f5448323c7ab2
- Size of remote file:
- 407 MB
- SHA256:
- b4e1d3552955c4b1825b37bb495a271d03eea6e6b8380cf6ffa48593f52deea8
路
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