Instructions to use ShynBui/comment_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/comment_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ShynBui/comment_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ShynBui/comment_classification") model = AutoModelForSequenceClassification.from_pretrained("ShynBui/comment_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download bpe.codes from ShynBui/comment_classification: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
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https://huggingface.co/ShynBui/comment_classification/resolve/af9ba5b58ddea2aec5fc4d2ca5ef69610d786241/bpe.codes
- Command line
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hf download hf://ShynBui/comment_classification@af9ba5b58ddea2aec5fc4d2ca5ef69610d786241/bpe.codes
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curl -L -o bpe.codes https://huggingface.co/ShynBui/comment_classification/resolve/af9ba5b58ddea2aec5fc4d2ca5ef69610d786241/bpe.codes
1.14 MB
File too large to display, you can check the raw version instead.