Instructions to use srcocotero/bert-large-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srcocotero/bert-large-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="srcocotero/bert-large-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("srcocotero/bert-large-qa") model = AutoModelForQuestionAnswering.from_pretrained("srcocotero/bert-large-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9665aa86f2755d428369f59089793016400b508d72a1015a0fadbcb3bf558ecf
- Size of remote file:
- 3.38 kB
- SHA256:
- 21f2d1af2b461509c59568493fa72effe9106b7a86dde014eea50f6167118b23
路
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