Token Classification
Transformers
TensorBoard
Safetensors
PyTorch
Swedish
cobald_parser
feature-extraction
custom_code
Eval Results (legacy)
Instructions to use E-katrin/train20_0_check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use E-katrin/train20_0_check with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="E-katrin/train20_0_check", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("E-katrin/train20_0_check", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from E-katrin/train20_0_check: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/E-katrin/train20_0_check/resolve/main/training_args.bin
- Command line
-
hf download hf://E-katrin/train20_0_check/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/E-katrin/train20_0_check/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 02f10b6b412101abb98b520831a1cc76e204c56158ecf329e21567f0cfd922d5
- Size of remote file:
- 5.5 kB
- SHA256:
- 97787e351c4631f9fa03f51ae9f3b51907b80214d6c058ba73ee90c86c905713
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