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:
- 5cb1700ecfffebccdc961f2605aac7455ec489cff0a736a2c2a7aaeb79a9ec60
- Size of remote file:
- 4.03 kB
- SHA256:
- 60a46fa7765fd949851d723b013601d5e19a6e4631ad1f839350358738d9d4c0
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