Text Classification
Transformers
PyTorch
English
bert
financial-text-analysis
forward-looking-statement
Instructions to use yiyanghkust/finbert-fls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yiyanghkust/finbert-fls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yiyanghkust/finbert-fls")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yiyanghkust/finbert-fls") model = AutoModelForSequenceClassification.from_pretrained("yiyanghkust/finbert-fls") - Inference
- Notebooks
- Google Colab
- Kaggle
Add License ?
#4 opened over 1 year ago
by
sondalex
Adding `safetensors` variant of this model
#3 opened over 3 years ago
by
SFconvertbot
Add TF weights
#2 opened about 4 years ago
by
joaogante
Add TF weights
#1 opened about 4 years ago
by
joaogante