Instructions to use cogsci13/xlm-roberta-base-finetuned-panx-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cogsci13/xlm-roberta-base-finetuned-panx-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cogsci13/xlm-roberta-base-finetuned-panx-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cogsci13/xlm-roberta-base-finetuned-panx-en") model = AutoModelForTokenClassification.from_pretrained("cogsci13/xlm-roberta-base-finetuned-panx-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 336c044b02685a4d01cee653c504b1044ef70d5a2fd842a76a4f318db056dc0d
- Size of remote file:
- 4.98 kB
- SHA256:
- a73cbf734403e2072afc855dd446ff3827427381e5881e107a0335aa96c88c59
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