Instructions to use raulgdp/Mi-roberta-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raulgdp/Mi-roberta-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="raulgdp/Mi-roberta-QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("raulgdp/Mi-roberta-QA") model = AutoModelForQuestionAnswering.from_pretrained("raulgdp/Mi-roberta-QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f296429414ed77ea2abf5aba7851a3dec20edd035bc97c75ca5838f9fe2070f7
- Size of remote file:
- 5.3 kB
- SHA256:
- 8747bf5ae680a77d13833e5e73252d3cd8edb8bab1bf42312fc0fb634d961d2b
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