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 training_args.bin from royam0820/xlm-roberta-base-finetuned-panx-de: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/royam0820/xlm-roberta-base-finetuned-panx-de/resolve/main/training_args.bin
- Command line
-
hf download hf://royam0820/xlm-roberta-base-finetuned-panx-de/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/royam0820/xlm-roberta-base-finetuned-panx-de/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 7bbf75ba36ca7e68bb378d872c4dfa51431e7f9385ff5f7c5529bf8285e2dcb5
- Size of remote file:
- 2.86 kB
- SHA256:
- 0c62b4afebc9962cede06d8f2d3796d5348e7f37a82c452ab58fa44ea848d3c0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.