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:
- 008a405ecf9ad67e2f7d971c25a4ba6245c2a6c0eb827f61344e5c7a53647ff5
- Size of remote file:
- 1.11 GB
- SHA256:
- ce7638cb9d42b819f57c068ce9276628133fa84cbc7345348a208662950f4c82
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