Instructions to use transformersbook/xlm-roberta-base-finetuned-panx-fr 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-fr 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-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("transformersbook/xlm-roberta-base-finetuned-panx-fr") model = AutoModelForTokenClassification.from_pretrained("transformersbook/xlm-roberta-base-finetuned-panx-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a7864824db3e640e8fb0bffd29bfa0a9e668937579d9c574363c39a2de5aa70
- Size of remote file:
- 1.11 GB
- SHA256:
- 1c80dba3b04881d9d2cbd439ba89fc315cff04cab9bd15a97c0b09fa2b38dbc3
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