Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use IMA-StreamSolve/sentiment-analysis-roberta-base-V1.5_ima_ds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMA-StreamSolve/sentiment-analysis-roberta-base-V1.5_ima_ds with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IMA-StreamSolve/sentiment-analysis-roberta-base-V1.5_ima_ds")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IMA-StreamSolve/sentiment-analysis-roberta-base-V1.5_ima_ds") model = AutoModelForSequenceClassification.from_pretrained("IMA-StreamSolve/sentiment-analysis-roberta-base-V1.5_ima_ds") - Notebooks
- Google Colab
- Kaggle