Text Classification
Transformers
PyTorch
Safetensors
English
bert
finance
sentiment
finbert
multi-task-learning
Instructions to use pmatorras/financial-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pmatorras/financial-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pmatorras/financial-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pmatorras/financial-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("pmatorras/financial-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (1cd8d4af935979b559a5ca737e88dbb5c646cebf)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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