Token Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use AICODER009/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 AICODER009/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="AICODER009/xlm-roberta-base-finetuned-panx-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AICODER009/xlm-roberta-base-finetuned-panx-de") model = AutoModelForTokenClassification.from_pretrained("AICODER009/xlm-roberta-base-finetuned-panx-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AICODER009/xlm-roberta-base-finetuned-panx-de: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/AICODER009/xlm-roberta-base-finetuned-panx-de/resolve/main/training_args.bin
- Command line
-
hf download hf://AICODER009/xlm-roberta-base-finetuned-panx-de/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AICODER009/xlm-roberta-base-finetuned-panx-de/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- f2d134da214e61e9c2702b9d87e67fb8be983d2d780b6d35eb81ed4b7cff3404
- Size of remote file:
- 4.6 kB
- SHA256:
- ade6ea480fe0d30deb28cd6991f246ab6d6e6a1a69bb6dcbaf6439b49e795148
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