Instructions to use hw2942/bert-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hw2942/bert-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hw2942/bert-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hw2942/bert-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1") model = AutoModelForSequenceClassification.from_pretrained("hw2942/bert-base-chinese-finetuning-wallstreetcn-morning-news-market-overview-open-000001SH-v1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot