Instructions to use amitjain171980/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 amitjain171980/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="amitjain171980/xlm-roberta-base-finetuned-panx-de-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("amitjain171980/xlm-roberta-base-finetuned-panx-de-fr") model = AutoModelForTokenClassification.from_pretrained("amitjain171980/xlm-roberta-base-finetuned-panx-de-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b3178c30e3f0d9a06dde2fb754095213eb6382f07a562d91acf31caf9c77bde
- Size of remote file:
- 1.11 GB
- SHA256:
- 29fd116edcdfeeb71a0fa679ef74f0e140210c1a894bae05f80cd56aff869d97
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