Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use royam0820/xlm-roberta-base-finetuned-panx-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use royam0820/xlm-roberta-base-finetuned-panx-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="royam0820/xlm-roberta-base-finetuned-panx-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("royam0820/xlm-roberta-base-finetuned-panx-de") model = AutoModelForTokenClassification.from_pretrained("royam0820/xlm-roberta-base-finetuned-panx-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from royam0820/xlm-roberta-base-finetuned-panx-de: direct link, hf CLI and curl.
- Browser
- Download file 9.08 MB
-
https://huggingface.co/royam0820/xlm-roberta-base-finetuned-panx-de/resolve/fe4caf0fc1cafb643696c99bba5bae35b6b09231/tokenizer.json
- Command line
-
hf download hf://royam0820/xlm-roberta-base-finetuned-panx-de@fe4caf0fc1cafb643696c99bba5bae35b6b09231/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/royam0820/xlm-roberta-base-finetuned-panx-de/resolve/fe4caf0fc1cafb643696c99bba5bae35b6b09231/tokenizer.json
9.08 MB
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