Instructions to use HiTZ/mbert-argmining-abstrct-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/mbert-argmining-abstrct-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HiTZ/mbert-argmining-abstrct-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HiTZ/mbert-argmining-abstrct-multilingual") model = AutoModelForTokenClassification.from_pretrained("HiTZ/mbert-argmining-abstrct-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a816e705647abda8b3d4e05ca8c8f5737b41dd69f4c0dd573d90365f5c712e75
- Size of remote file:
- 4.98 kB
- SHA256:
- 3ad5b11cedb8c71b7172a119a539a49b00c9933a10cf45529cf47a37ef6a7c46
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