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
Adding `safetensors` variant of this model
#9 opened over 1 year ago
by
SFconvertbot
Sentiment classes?
1
#7 opened over 2 years ago
by
abhisheksgumadi
Awesome model, thank you for sharing! Tried out the model here with some examples
🤗 1
1
#6 opened over 2 years ago
by
ArthurArmani
License?
1
#5 opened almost 3 years ago
by
hopkiz
Size of this model
1
#4 opened about 3 years ago
by
dee-lys
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot