Instructions to use Kyrmasch/xml-roberta-model-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kyrmasch/xml-roberta-model-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Kyrmasch/xml-roberta-model-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kyrmasch/xml-roberta-model-qa") model = AutoModelForQuestionAnswering.from_pretrained("Kyrmasch/xml-roberta-model-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3e1a20515ad47021634ccc0b7530ce18a8158dee8c012cc32f5ce50ffcaf37b
- Size of remote file:
- 2.22 GB
- SHA256:
- b7f616dd892d65e0d0839627fbdb98aa327b78ef38f72e08bffe2ebe0a7e0ef2
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