Instructions to use YanJiangJerry/sentiment-roberta-clean-e4-b16-data2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YanJiangJerry/sentiment-roberta-clean-e4-b16-data2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YanJiangJerry/sentiment-roberta-clean-e4-b16-data2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YanJiangJerry/sentiment-roberta-clean-e4-b16-data2") model = AutoModelForSequenceClassification.from_pretrained("YanJiangJerry/sentiment-roberta-clean-e4-b16-data2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
cca465d -
Training in progress, epoch 4
189dbc5 -
Training in progress, epoch 3
8a2fd03 -
Training in progress, epoch 2
a801939 -
Training in progress, epoch 1
cd6dcf2 -
initial commit
bc047d7