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:
- 0d50784a257a40906d46d91bbc9b2096709d0d32952315576499e36df970a445
- Size of remote file:
- 1.52 kB
- SHA256:
- 0867e48918780b86374fbf38b099fe796a678012fd2f81dedf48d490f59fd3d1
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