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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot
What the pretrained dataset and which method based on
👍 3
1
#2 opened over 3 years ago
by
xwycyj
What sentiment does each label represent?
2
#1 opened almost 4 years ago
by
ZhiL