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 model.safetensors from ShynBui/comment_classification: direct link, hf CLI and curl.
- Browser
- Download file 540 MB
-
https://huggingface.co/ShynBui/comment_classification/resolve/main/model.safetensors
- Command line
-
hf download hf://ShynBui/comment_classification/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ShynBui/comment_classification/resolve/main/model.safetensors
540 MB
- Xet hash:
- d451d44e54c97f7a3ba2098da06c554b9037e07b3c2bb934e354dcdf12b97bfe
- Size of remote file:
- 540 MB
- SHA256:
- 95c2c91105feae5f13eaa8b48e0883e990f0c65d9b4625aa4b4d4ca7b75cd670
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