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:
- fa6c0c49ea9ca60760ef2d71e533adb7e6a235d5abcef18080eda760f95e67b9
- Size of remote file:
- 3.83 kB
- SHA256:
- 4de4c255b9ea65b90af2b898da0a8abad97ae387eb76eb1e597bdc8ef4527fc6
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