Instructions to use Cabooose/multilingual_indonesian_token_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cabooose/multilingual_indonesian_token_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Cabooose/multilingual_indonesian_token_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Cabooose/multilingual_indonesian_token_classification_model") model = AutoModelForTokenClassification.from_pretrained("Cabooose/multilingual_indonesian_token_classification_model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:eedced4404986958a7d284ba5e83d9a025b304484400b711cce601c774384028
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size 709085088
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