Instructions to use KBLab/bert-base-swedish-lowermix-reallysimple-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/bert-base-swedish-lowermix-reallysimple-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KBLab/bert-base-swedish-lowermix-reallysimple-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KBLab/bert-base-swedish-lowermix-reallysimple-ner") model = AutoModelForTokenClassification.from_pretrained("KBLab/bert-base-swedish-lowermix-reallysimple-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6ca929a5ab65a004c7cb97485cecbfe91d238f1da8d650fbcb94c947e03d4bc
- Size of remote file:
- 496 MB
- SHA256:
- 49545200dd3a32ac76e14da91aa2c0b0ba6d4e5d5efbf90d922f7f91f6b7de89
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