Token Classification
Transformers
PyTorch
Slovak
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use Raychani1/slovakbert-ner-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raychani1/slovakbert-ner-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Raychani1/slovakbert-ner-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Raychani1/slovakbert-ner-v2") model = AutoModelForTokenClassification.from_pretrained("Raychani1/slovakbert-ner-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e5543be3974621acdc7d9e47b5a0cd71d6e34ab19730ac121569eaf1926c02a
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size 496288288
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