Instructions to use YanJiangJerry/sentiment-roberta-e4-b16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YanJiangJerry/sentiment-roberta-e4-b16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YanJiangJerry/sentiment-roberta-e4-b16")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YanJiangJerry/sentiment-roberta-e4-b16") model = AutoModelForSequenceClassification.from_pretrained("YanJiangJerry/sentiment-roberta-e4-b16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update model card README.md
770cbf7 -
End of training
da9043a -
Training in progress, epoch 3
727ec60 -
Training in progress, epoch 2
2f15a9d -
Training in progress, epoch 1
0c781ab -
initial commit
6adf5f8