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:
- e2db09d781e6d00b0ec0f48f8bbcefc5fb0bac153525e0f1da69f410203d2adb
- Size of remote file:
- 2.93 kB
- SHA256:
- 76262656d5363e290f868c69b61467f5b33cc62f3f71cfec74e104e120a11199
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