Instructions to use cardiffnlp/twitter-roberta-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-sentiment") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-sentiment", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
used quantization onnx for easy use and low size
#21
by PraneshJs - opened
roberta_sentiment_quant.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:664ce9b43e6d52a391f47b481cba7ac7b1b1281d9b3cb4d55615c3998bd56737
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size 125425101
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