Text Classification
Transformers
Safetensors
PyTorch
English
roberta
sentiment-analysis
fastapi
multilingual
docker
kafka
nlp
Eval Results (legacy)
Instructions to use SkyNet-DL/sentiment-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkyNet-DL/sentiment-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkyNet-DL/sentiment-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SkyNet-DL/sentiment-roberta") model = AutoModelForSequenceClassification.from_pretrained("SkyNet-DL/sentiment-roberta") - Notebooks
- Google Colab
- Kaggle