Instructions to use cjvt/sloberta-word-case-classification-multilabel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/sloberta-word-case-classification-multilabel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cjvt/sloberta-word-case-classification-multilabel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cjvt/sloberta-word-case-classification-multilabel") model = AutoModelForTokenClassification.from_pretrained("cjvt/sloberta-word-case-classification-multilabel") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 85fb119
Update README.md
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README.md
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@@ -37,13 +37,13 @@ linus torvalds je finski programer, poznan kot izumitelj operacijskega sistema l
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The model might return the following predictions (note: predictions chosen for demonstration/explanation, not reproducibility!):
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```
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-
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-
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je -> LOWER_OTHER
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finski -> LOWER_ADJ_SKI
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programer -> LOWER_OTHER
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, -> LOWER_OTHER
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-
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kot -> LOWER_OTHER
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izumitelj -> LOWER_OTHER
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operacijskega -> LOWER_OTHER
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The model might return the following predictions (note: predictions chosen for demonstration/explanation, not reproducibility!):
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```
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linus -> UPPER_ENTITY, UPPER_BEGIN
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torvalds -> UPPER_ENTITY
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je -> LOWER_OTHER
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finski -> LOWER_ADJ_SKI
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programer -> LOWER_OTHER
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, -> LOWER_OTHER
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poznan -> LOWER_HYPERCORRECTION
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kot -> LOWER_OTHER
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izumitelj -> LOWER_OTHER
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operacijskega -> LOWER_OTHER
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