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")# 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 pytorch_model.bin from royam0820/xlm-roberta-base-finetuned-panx-de: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/royam0820/xlm-roberta-base-finetuned-panx-de/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://royam0820/xlm-roberta-base-finetuned-panx-de/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/royam0820/xlm-roberta-base-finetuned-panx-de/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- 21a3cbe57a2a76f3a61aca38b1213875ab84291b90c449d7fd94af0fa4b55dc1
- Size of remote file:
- 1.11 GB
- SHA256:
- c9382c2ce5940bd1960ea35a6205428f5d7230c612b3a110819edb8d708a7793
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