Instructions to use vesteinn/IceBERT-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/IceBERT-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vesteinn/IceBERT-QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vesteinn/IceBERT-QA") model = AutoModelForQuestionAnswering.from_pretrained("vesteinn/IceBERT-QA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee58c178f6ca2d2f8226cf23b6404f7d7a01fc0a69295009d202a62c23ae58b7
- Size of remote file:
- 496 MB
- SHA256:
- cbc820a1effd0e0e8999ad148ef36a7fcb25f9a32a167a23d758cf33ca403a81
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