Instructions to use songys/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 songys/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="songys/xlm-roberta-base-finetuned-panx-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("songys/xlm-roberta-base-finetuned-panx-fr") model = AutoModelForTokenClassification.from_pretrained("songys/xlm-roberta-base-finetuned-panx-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82c776feddc744c503eae460b95df2ff34fc35c06d226208b1a7fb62fd57d6ad
- Size of remote file:
- 1.11 GB
- SHA256:
- 5634b11fbbf1ca25d06731ab5ce0c594ce5c21eab34c69e532861ba9745e9988
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