Instructions to use garNER/xlm-roberta-large-sv-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garNER/xlm-roberta-large-sv-LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="garNER/xlm-roberta-large-sv-LM")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("garNER/xlm-roberta-large-sv-LM") model = AutoModelForTokenClassification.from_pretrained("garNER/xlm-roberta-large-sv-LM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4589b16c7246286f160eee35ffc39c334fd3720ef57903d2197f20d1b2572fec
- Size of remote file:
- 3.25 kB
- SHA256:
- 5dcbfc3dc28c171b16b0781e14ea40b9b507e0852a796d2acd0f044ecad5cda4
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