Instructions to use JOOMINJI/NSMC_model.bin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JOOMINJI/NSMC_model.bin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JOOMINJI/NSMC_model.bin")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JOOMINJI/NSMC_model.bin") model = AutoModelForSequenceClassification.from_pretrained("JOOMINJI/NSMC_model.bin") - 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:bcf703e22015b6dfb5f7b709538e913faa90daf5eaa98545405e5bc0de6718e3
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size 368777128
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