Instructions to use Ridealist/xlm-roberta-base-finetuned-panx-de-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ridealist/xlm-roberta-base-finetuned-panx-de-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ridealist/xlm-roberta-base-finetuned-panx-de-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ridealist/xlm-roberta-base-finetuned-panx-de-fr") model = AutoModelForTokenClassification.from_pretrained("Ridealist/xlm-roberta-base-finetuned-panx-de-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8256f7f991dc2bef5188a526f16cb01795502d1cefe372388e9c616fce0ce2f5
- Size of remote file:
- 1.11 GB
- SHA256:
- 0eae1c9b35a7924d772521f17fa8ecf538a423cfc3b7148f2a5ddddac9d2902e
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