Instructions to use Doohae/roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Doohae/roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Doohae/roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Doohae/roberta") model = AutoModelForQuestionAnswering.from_pretrained("Doohae/roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98ff2a129069078c2cf9d52949e2313ed7e75ca10754ab41e9a6d9504c45d2a7
- Size of remote file:
- 1.34 GB
- SHA256:
- 4586e5fe1fd041b9e0356944c7fbacb30bb807b08b0347fee0959e764f434996
路
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