Token Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use AICODER009/xlm-roberta-base-finetuned-panx-it 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-it 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-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AICODER009/xlm-roberta-base-finetuned-panx-it") model = AutoModelForTokenClassification.from_pretrained("AICODER009/xlm-roberta-base-finetuned-panx-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AICODER009/xlm-roberta-base-finetuned-panx-it: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/AICODER009/xlm-roberta-base-finetuned-panx-it/resolve/main/training_args.bin
- Command line
-
hf download hf://AICODER009/xlm-roberta-base-finetuned-panx-it/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AICODER009/xlm-roberta-base-finetuned-panx-it/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 774583bd75ae8487fd7c6c0fc721e3174eb2b43975ccb102d1c68c7d32a525a9
- Size of remote file:
- 4.66 kB
- SHA256:
- 1fa74791e113d75745a86dd1b01e7fbff5c8becf74dd14d0fedaa557c68ce144
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