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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6b93863e26e15f601f9b16bfb477e6d54ed011575a0bfb6c447cd8fc6035c32
- Size of remote file:
- 4.03 kB
- SHA256:
- c0396ee3d2be92358cee6e6bb521dc2761d5ef3dab0ef6d880752470f3795821
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