Instructions to use YanJiangJerry/sentiment-roberta-e2-b16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YanJiangJerry/sentiment-roberta-e2-b16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YanJiangJerry/sentiment-roberta-e2-b16")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YanJiangJerry/sentiment-roberta-e2-b16") model = AutoModelForSequenceClassification.from_pretrained("YanJiangJerry/sentiment-roberta-e2-b16") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f1e86a94f5c4e3ecc3d5384659ab58f661777090ca02101c35d3123d4f9f505
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size 1421503716
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