Instructions to use AAA01101312/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 AAA01101312/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="AAA01101312/xlm-roberta-base-finetuned-panx-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AAA01101312/xlm-roberta-base-finetuned-panx-en") model = AutoModelForTokenClassification.from_pretrained("AAA01101312/xlm-roberta-base-finetuned-panx-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac2ab6161172b74931b0981b720f99adb14c0ff11a132a6002bbb2b396e9ab7d
- Size of remote file:
- 5.05 kB
- SHA256:
- ba601f2631967015551fc14c9bcfca235d33c5326138c185fcd47b0bdff2cf7f
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