Text Classification
Transformers
PyTorch
Safetensors
Chinese
distilbert
financial-sentiment-analysis
sentiment-analysis
distiluse
Eval Results (legacy)
text-embeddings-inference
Instructions to use bardsai/finance-sentiment-zh-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/finance-sentiment-zh-fast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bardsai/finance-sentiment-zh-fast")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bardsai/finance-sentiment-zh-fast") model = AutoModelForSequenceClassification.from_pretrained("bardsai/finance-sentiment-zh-fast", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
4cf6d7f
1
Parent(s): 597a58a
Adding `safetensors` variant of this model (#2)
Browse files- Adding `safetensors` variant of this model (606a946bd5e89778fd499303464155b7194961f3)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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