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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
3f2f6ca | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c8e777e828839c85deaa62fb8e5acb05a57d87fc37a299861d2a2f671f42159f
size 442548341
|