Instructions to use HiTZ/xlm-roberta-large-lemma-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/xlm-roberta-large-lemma-eu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HiTZ/xlm-roberta-large-lemma-eu")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HiTZ/xlm-roberta-large-lemma-eu") model = AutoModelForTokenClassification.from_pretrained("HiTZ/xlm-roberta-large-lemma-eu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ba4cab996c88127ac6af4f3400356a8f6cc01bce57c008bcf6baacffee00eeb
- Size of remote file:
- 2.24 GB
- SHA256:
- a926486dc727596fa8c213efeb56467bb99a9cf7fc4fb5f3281c1ac35915b20d
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