Instructions to use songys/xlm-roberta-base-finetuned-panx-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use songys/xlm-roberta-base-finetuned-panx-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="songys/xlm-roberta-base-finetuned-panx-it")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("songys/xlm-roberta-base-finetuned-panx-it") model = AutoModelForTokenClassification.from_pretrained("songys/xlm-roberta-base-finetuned-panx-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1117db8b2e5df842ca4752f006f204463bac058ec1552b2307be24c9f132227
- Size of remote file:
- 1.11 GB
- SHA256:
- 6c1547d8cab52c1ffb4b297ec08d72587090f9c86096618ae24c105d0b8c21db
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