Instructions to use barbaroo/faroese_POS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barbaroo/faroese_POS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="barbaroo/faroese_POS")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("barbaroo/faroese_POS") model = AutoModelForTokenClassification.from_pretrained("barbaroo/faroese_POS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload XLMRobertaForTokenClassification
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"_name_or_path": "vesteinn/
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"architectures": [
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"XLMRobertaForTokenClassification"
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"_name_or_path": "vesteinn/ScandiBERT",
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"architectures": [
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"XLMRobertaForTokenClassification"
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 495626860
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