Instructions to use nlp04/korean_sentiment_analysis_kcelectra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp04/korean_sentiment_analysis_kcelectra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nlp04/korean_sentiment_analysis_kcelectra")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nlp04/korean_sentiment_analysis_kcelectra") model = AutoModelForSequenceClassification.from_pretrained("nlp04/korean_sentiment_analysis_kcelectra", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nlp04/korean_sentiment_analysis_kcelectra: direct link, hf CLI and curl.
- Browser
- Download file 3.5 kB
-
https://huggingface.co/nlp04/korean_sentiment_analysis_kcelectra/resolve/main/training_args.bin
- Command line
-
hf download hf://nlp04/korean_sentiment_analysis_kcelectra/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nlp04/korean_sentiment_analysis_kcelectra/resolve/main/training_args.bin
3.5 kB
- Xet hash:
- ff02773df1a411326b9f54722b7c14bb749ef103270020711f07a2e83904276b
- Size of remote file:
- 3.5 kB
- SHA256:
- 208ee792f6ef7e5046019be4b351fcf35cf5b29ec983af3f4879cb58d8ad5efd
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