Instructions to use annamariagnat/trained_danish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use annamariagnat/trained_danish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="annamariagnat/trained_danish")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("annamariagnat/trained_danish") model = AutoModelForTokenClassification.from_pretrained("annamariagnat/trained_danish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from annamariagnat/trained_danish: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/annamariagnat/trained_danish/resolve/main/training_args.bin
- Command line
-
hf download hf://annamariagnat/trained_danish/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/annamariagnat/trained_danish/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- e9c630261b72749f933b8747bf507f53dc275dcf418e9a7da1173be2c117c3a1
- Size of remote file:
- 4.92 kB
- SHA256:
- 9f01550ecc179ad68e02c373263dc4ec32dafb3f6ec28c114008a29f00968bc7
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