Text Classification
Transformers
Safetensors
Chinese
bert
financial-sentiment-analysis
sentiment-analysis
Instructions to use yiyanghkust/finbert-tone-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yiyanghkust/finbert-tone-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yiyanghkust/finbert-tone-chinese", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yiyanghkust/finbert-tone-chinese") model = AutoModelForSequenceClassification.from_pretrained("yiyanghkust/finbert-tone-chinese", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
more detailed explanation
#3 opened over 1 year ago
by
Zaicijin
谢谢伟大的作者!
1
#2 opened over 1 year ago
by
XiaoXuMeiYouNLP
Where's the pytorch_model.bin or tf_model.bin,could you send it,please?
#1 opened over 2 years ago
by
HoranF