Instructions to use HiTZ/mdeberta-expl-extraction-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/mdeberta-expl-extraction-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HiTZ/mdeberta-expl-extraction-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("HiTZ/mdeberta-expl-extraction-multi") model = AutoModelForQuestionAnswering.from_pretrained("HiTZ/mdeberta-expl-extraction-multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffd49fe661f971ca9cd630c9d6486f2973f82201f1e5b9910ff577328060467a
- Size of remote file:
- 1.11 GB
- SHA256:
- 26e0fb2b07ab4c5d9e3a7a5b298b9249d0bf2092a03dbd4bc63d3835a685d4e0
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