Instructions to use JunHwi/kmhas_multilabel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunHwi/kmhas_multilabel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JunHwi/kmhas_multilabel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JunHwi/kmhas_multilabel") model = AutoModelForSequenceClassification.from_pretrained("JunHwi/kmhas_multilabel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add label map pickle file
Browse files- kmhas_dict.pickle +3 -0
kmhas_dict.pickle
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version https://git-lfs.github.com/spec/v1
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oid sha256:27ceb9b3d70a6439bbb7fb47b2a1638b92d80e4f010dff67c180c8f93a5f1ecd
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size 128
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