Instructions to use Davlan/xlm-roberta-base-wikiann-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/xlm-roberta-base-wikiann-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Davlan/xlm-roberta-base-wikiann-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Davlan/xlm-roberta-base-wikiann-ner") model = AutoModelForTokenClassification.from_pretrained("Davlan/xlm-roberta-base-wikiann-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c57736c6a5f484ecb325a349b0a50c9acb7f2d09622229608b9f5baf764a88e9
- Size of remote file:
- 1.11 GB
- SHA256:
- 57356e6fc0326684474226e3d4ddff2f2d11b6eeefec5a29e5d293bbd8ca21ed
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