Instructions to use IDEA-CCNL/Erlangshen-MegatronBert-1.3B-Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Erlangshen-MegatronBert-1.3B-Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IDEA-CCNL/Erlangshen-MegatronBert-1.3B-Sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Erlangshen-MegatronBert-1.3B-Sentiment") model = AutoModelForSequenceClassification.from_pretrained("IDEA-CCNL/Erlangshen-MegatronBert-1.3B-Sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2781e65c8cce56568aaaa7900e3dff8d2de78562767681b20ec6579c3bed326
- Size of remote file:
- 5.03 GB
- SHA256:
- 6a8f5cbe75125b576d6e5a9684c53cc265d00d50b78dca3e44507ef242adf2d4
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