Instructions to use techthiyanes/chinese_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techthiyanes/chinese_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="techthiyanes/chinese_sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("techthiyanes/chinese_sentiment") model = AutoModelForSequenceClassification.from_pretrained("techthiyanes/chinese_sentiment") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5235a19472aff77e1f70d54eacf75ccd61fa0a03bcefbec4ee404f6235e71d96
- Size of remote file:
- 409 MB
- SHA256:
- 9fdd3cae9dbd51d9ab9a012c7d9a674a2070952dc77db4b7b6072c7614141987
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