Instructions to use dhtocks/nsmc_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhtocks/nsmc_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhtocks/nsmc_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhtocks/nsmc_classifier") model = AutoModelForSequenceClassification.from_pretrained("dhtocks/nsmc_classifier") - 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:b22ac29ca03fa1b3e06dedc8b3d06cf476412f9248c789eeb9361faaad3ed2ec
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size 442503256
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