Text Classification
Transformers
PyTorch
TensorFlow
English
financial-sentiment-analysis
sentiment-analysis
Instructions to use yiyanghkust/finbert-tone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yiyanghkust/finbert-tone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yiyanghkust/finbert-tone")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("yiyanghkust/finbert-tone", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Add TF weights
#2
by joaogante - opened
- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:37d45bf7c11607c5df782ef613f711ccf8b5a9af5ae6ceffc2e5da8aae191096
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size 439304476
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