Instructions to use HiTZ/xlm-roberta-large-expl-extraction-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/xlm-roberta-large-expl-extraction-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="HiTZ/xlm-roberta-large-expl-extraction-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("HiTZ/xlm-roberta-large-expl-extraction-multi") model = AutoModelForQuestionAnswering.from_pretrained("HiTZ/xlm-roberta-large-expl-extraction-multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1b7c71f460320f8668e82885b030761d90980f9d336ea1341278562a0b810f6
- Size of remote file:
- 2.42 kB
- SHA256:
- 8d7b01f81ddc43a3505c6ca5a178aab24754594e05b22ceac90e85cc8c00340c
路
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