Instructions to use badokorach/xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badokorach/xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="badokorach/xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("badokorach/xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC") model = AutoModelForQuestionAnswering.from_pretrained("badokorach/xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC", device_map="auto") - Notebooks
- Google Colab
- Kaggle