Instructions to use HiTZ/xlm-roberta-large-lemma-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/xlm-roberta-large-lemma-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HiTZ/xlm-roberta-large-lemma-pl")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HiTZ/xlm-roberta-large-lemma-pl") model = AutoModelForTokenClassification.from_pretrained("HiTZ/xlm-roberta-large-lemma-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e080895794fefb2f5268e0bc31abbea8334f55dbf4e794bfae2755ff070ac5a
- Size of remote file:
- 3.83 kB
- SHA256:
- 5ac338d72d79d544cb9d2f189ae5f47d3cc27ac0a169a9e28a128fad914d11ff
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