Text Classification
Transformers
PyTorch
TensorFlow
JAX
English
roberta
sentiment
twitter
reviews
siebert
Instructions to use siebert/sentiment-roberta-large-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use siebert/sentiment-roberta-large-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="siebert/sentiment-roberta-large-english")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("siebert/sentiment-roberta-large-english") model = AutoModelForSequenceClassification.from_pretrained("siebert/sentiment-roberta-large-english") - Inference
- Notebooks
- Google Colab
- Kaggle
Awesome model, thank you for sharing! Tried out the model here with some examples
#6
by ArthurArmani - opened
https://github.com/arthurxarmani/SimpleAISentimentAnalysis
Gave this model a try and was very impressed by the results compared to some other models I have tried out.
Thank you for this!
Thanks for your feedback β glad the model was useful!