Text Classification
Transformers
PyTorch
Safetensors
English
bert
finance
financial
news
sentiment-analysis
finbert
transfomer
financial-news
financial-news-sentiment
text-embeddings-inference
Instructions to use project-aps/finbert-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use project-aps/finbert-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="project-aps/finbert-finetune")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("project-aps/finbert-finetune") model = AutoModelForSequenceClassification.from_pretrained("project-aps/finbert-finetune") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#3)
Browse files- Adding `safetensors` variant of this model (83556cbb0186b26953cd82f679d048fbe06c3642)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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