Instructions to use wietsedv/xlm-roberta-base-ft-udpos28-la with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wietsedv/xlm-roberta-base-ft-udpos28-la with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wietsedv/xlm-roberta-base-ft-udpos28-la")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-la") model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-la") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64cc7f7e39817176457d3adc03d55d09060dc4104b3081511da2f465433c0cf7
- Size of remote file:
- 1.11 GB
- SHA256:
- 8126220edd6d5bb4f3e65ee60ddb180b84cc8f73a9b545be7b7cea8c3d9fbcbe
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