Instructions to use Mediocre-Judge/xlm-roberta_AGRO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mediocre-Judge/xlm-roberta_AGRO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Mediocre-Judge/xlm-roberta_AGRO")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Mediocre-Judge/xlm-roberta_AGRO") model = AutoModelForQuestionAnswering.from_pretrained("Mediocre-Judge/xlm-roberta_AGRO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bc7a5e765c1e065beada576bcc07a6036ffd86fd20725ac38004d0b56fec50d
- Size of remote file:
- 5.24 kB
- SHA256:
- d785b74276b2c7fd5e704292955b1c36df1067c10063803fddcc2eca72d99d3a
路
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