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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d62223fe79592686019bc7910bb05e519133c17b1da8c74b7c6662bca384497
- Size of remote file:
- 1.42 GB
- SHA256:
- e1c73a200be0752e3519c9fa9221067ab2b5c2598fa91087a96c86aec77cab97
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