Instructions to use Rifky/XLM-ROBERTA-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rifky/XLM-ROBERTA-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Rifky/XLM-ROBERTA-QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Rifky/XLM-ROBERTA-QA") model = AutoModelForQuestionAnswering.from_pretrained("Rifky/XLM-ROBERTA-QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
1d6793d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:87df8b5822e8de40a826123aac6fcd969f604772ff7754eb334529840f8501bc
size 17082925
|