Instructions to use LaurentiuStancioiu/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 LaurentiuStancioiu/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="LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-all") model = AutoModelForTokenClassification.from_pretrained("LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1546e5c86ea41eb8e6ac13af0f5edaf624eca8bcb140d13a15e3a53f08d9847b
- Size of remote file:
- 1.11 GB
- SHA256:
- 240ff42dfa8b30eca0b8e1687399eaebbb34c80836509fb90e76d4418e597a35
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