Text Classification
Transformers
PyTorch
TensorBoard
English
roberta
financial-sentiment-analysis
sentiment-analysis
sentence_50agree
Generated from Trainer
sentiment
finance
Eval Results (legacy)
text-embeddings-inference
Instructions to use nickmuchi/distilroberta-finetuned-financial-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nickmuchi/distilroberta-finetuned-financial-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nickmuchi/distilroberta-finetuned-financial-text-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nickmuchi/distilroberta-finetuned-financial-text-classification") model = AutoModelForSequenceClassification.from_pretrained("nickmuchi/distilroberta-finetuned-financial-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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