Text Classification
Transformers
PyTorch
English
roberta
Sentiment
RoBERTa
Financial Statements
Accounting
Finance
Business
ESG
CSR Reports
Financial News
Earnings Call Transcripts
Sustainability
Corporate governance
Instructions to use soleimanian/financial-roberta-large-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soleimanian/financial-roberta-large-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="soleimanian/financial-roberta-large-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("soleimanian/financial-roberta-large-sentiment") model = AutoModelForSequenceClassification.from_pretrained("soleimanian/financial-roberta-large-sentiment", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#5 opened 2 months ago
by
SFconvertbot
Should I be concerned about "UserWarning: TypedStorage is deprecated. " when using the model with python 3.11?
#4 opened over 1 year ago
by
poohlio
Paper
➕ 1
#3 opened over 2 years ago
by
Antidepresan
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
Upload README.md with huggingface_hub
#1 opened almost 4 years ago
by
lbourdois