Instructions to use Ridealist/xlm-roberta-base-finetuned-panx-de-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ridealist/xlm-roberta-base-finetuned-panx-de-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ridealist/xlm-roberta-base-finetuned-panx-de-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ridealist/xlm-roberta-base-finetuned-panx-de-fr") model = AutoModelForTokenClassification.from_pretrained("Ridealist/xlm-roberta-base-finetuned-panx-de-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53317c9037b6bf86395a86ac647e457dce7c957975c9e54c4df42f52e1b1f8f4
- Size of remote file:
- 4.08 kB
- SHA256:
- a4c4d509069055a40d49a8ddd775da2fb5f80479ff9e9f1e4724de9dc2ab0b21
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