Text Classification
Transformers
Safetensors
English
mamba
finance
sentiment
custom_code
Eval Results (legacy)
Instructions to use winddude/mamba_finacial_phrasebank_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use winddude/mamba_finacial_phrasebank_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="winddude/mamba_finacial_phrasebank_sentiment", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("winddude/mamba_finacial_phrasebank_sentiment", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("winddude/mamba_finacial_phrasebank_sentiment", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K