Instructions to use transformersbook/xlm-roberta-base-finetuned-panx-all 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-all 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-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("transformersbook/xlm-roberta-base-finetuned-panx-all") model = AutoModelForTokenClassification.from_pretrained("transformersbook/xlm-roberta-base-finetuned-panx-all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50ec9a90cd514a47ce5ef986b836288eac6033988d54c421b78ee1dfd822598d
- Size of remote file:
- 1.11 GB
- SHA256:
- 2009d1bee612f487f8e44c00544baeee2dfb476214b5de537173268dfb3aa159
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