Instructions to use YanJiangJerry/sentiment-roberta-e6-b16-data2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YanJiangJerry/sentiment-roberta-e6-b16-data2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YanJiangJerry/sentiment-roberta-e6-b16-data2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YanJiangJerry/sentiment-roberta-e6-b16-data2") model = AutoModelForSequenceClassification.from_pretrained("YanJiangJerry/sentiment-roberta-e6-b16-data2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:258b46d28468888b9941d75a7a3928b02423e667cbb367b8d50eb84b2b5ee2da
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size 1421503716
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