Instructions to use transformersbook/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 transformersbook/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="transformersbook/xlm-roberta-base-finetuned-panx-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("transformersbook/xlm-roberta-base-finetuned-panx-en") model = AutoModelForTokenClassification.from_pretrained("transformersbook/xlm-roberta-base-finetuned-panx-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1803a534c40c413d3dab11654cf2b89d233030128d92f7908597ce30c5a2d5d3
- Size of remote file:
- 2.93 kB
- SHA256:
- 4e19d4a85c820d77a79f8ddb9389f8a1a84d35414cf793acf9420122e4c0d86d
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