Instructions to use likejazz/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 likejazz/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="likejazz/xlm-roberta-base-finetuned-panx-it")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("likejazz/xlm-roberta-base-finetuned-panx-it") model = AutoModelForTokenClassification.from_pretrained("likejazz/xlm-roberta-base-finetuned-panx-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc079ae8448e8383bbfd9b796d85ac576bb52907f3c543f42b53b03ad78b4fd0
- Size of remote file:
- 2.94 kB
- SHA256:
- 3025b5ec4aaa4baef9985f45968789f95673c04933df01f10b2d7f1b79643144
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