Instructions to use KBLab/bert-base-swedish-cased-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/bert-base-swedish-cased-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KBLab/bert-base-swedish-cased-pos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KBLab/bert-base-swedish-cased-pos") model = AutoModelForTokenClassification.from_pretrained("KBLab/bert-base-swedish-cased-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from KBLab/bert-base-swedish-cased-pos: direct link, hf CLI and curl.
- Browser
- Download file 1.17 kB
-
https://huggingface.co/KBLab/bert-base-swedish-cased-pos/resolve/main/training_args.bin
- Command line
-
hf download hf://KBLab/bert-base-swedish-cased-pos/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/KBLab/bert-base-swedish-cased-pos/resolve/main/training_args.bin
1.17 kB
- Xet hash:
- 3a2c053f5b0882bac8ee1f4af0962c651e8df4917f3f50e596d090a17cc5c402
- Size of remote file:
- 1.17 kB
- SHA256:
- 0e2df47611d108584d13e25ccc0b11f1045670df40ed8c65757500ff7ce09d3c
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