Instructions to use saqidr/xlm-roberta-base-finetuned-panx-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saqidr/xlm-roberta-base-finetuned-panx-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="saqidr/xlm-roberta-base-finetuned-panx-de")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("saqidr/xlm-roberta-base-finetuned-panx-de") model = AutoModelForTokenClassification.from_pretrained("saqidr/xlm-roberta-base-finetuned-panx-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e52b4fadc2ce8e42872071c37d891f4d3939d77b4d069133ed14c4105f0fbc9
- Size of remote file:
- 4.73 kB
- SHA256:
- 3f105f0ee5a4580234678069a90eb5a7a478f9f48730295e9a313c010eb48cc7
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