Instructions to use WpnSta/lner-xlm-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WpnSta/lner-xlm-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="WpnSta/lner-xlm-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("WpnSta/lner-xlm-roberta") model = AutoModelForTokenClassification.from_pretrained("WpnSta/lner-xlm-roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 128e4bea076b1238bd45d07d4676afd1e6788fe105da8bcc2d0d8cb931b1700d
- Size of remote file:
- 17.1 MB
- SHA256:
- 8373f9cd3d27591e1924426bcc1c8799bc5a9affc4fc857982c5d66668dd1f41
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