Instructions to use kwoncho/ko-sroberta-multitask-stockmatching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kwoncho/ko-sroberta-multitask-stockmatching with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kwoncho/ko-sroberta-multitask-stockmatching")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kwoncho/ko-sroberta-multitask-stockmatching") model = AutoModelForSequenceClassification.from_pretrained("kwoncho/ko-sroberta-multitask-stockmatching", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kwoncho/ko-sroberta-multitask-stockmatching: direct link, hf CLI and curl.
- Browser
- Download file 752 kB
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https://huggingface.co/kwoncho/ko-sroberta-multitask-stockmatching/resolve/main/tokenizer.json
- Command line
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hf download hf://kwoncho/ko-sroberta-multitask-stockmatching/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/kwoncho/ko-sroberta-multitask-stockmatching/resolve/main/tokenizer.json
752 kB
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