Instructions to use pradeepiisc/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 pradeepiisc/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="pradeepiisc/xlm-roberta-base-finetuned-panx-it")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pradeepiisc/xlm-roberta-base-finetuned-panx-it") model = AutoModelForTokenClassification.from_pretrained("pradeepiisc/xlm-roberta-base-finetuned-panx-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0df507e4bc82608c64355b840d48b6b9b0b6ac100ed39810199d7b3f415a864
- Size of remote file:
- 1.11 GB
- SHA256:
- 467c575f835d41bcfd08b7df4d5957c5510eb78ed5181748847c90701f63bcb2
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