Text Classification
Transformers
Safetensors
English
roberta
financial-nlp
sentiment-analysis
distilroberta
active-learning
Eval Results (legacy)
text-embeddings-inference
Instructions to use OMCHOKSI108/FineStream with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OMCHOKSI108/FineStream with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OMCHOKSI108/FineStream")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OMCHOKSI108/FineStream") model = AutoModelForSequenceClassification.from_pretrained("OMCHOKSI108/FineStream") - Notebooks
- Google Colab
- Kaggle
| { | |
| "test_accuracy": 0.8679504814305364, | |
| "timestamp": "2026-05-26T07:10:52.344448", | |
| "base_model": "distilroberta-base", | |
| "dataset": "financial_phrasebank/sentences_allagree", | |
| "num_labels": 3, | |
| "max_length": 128, | |
| "seed": 42 | |
| } |