Instructions to use nghuyong/ernie-2.0-base-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nghuyong/ernie-2.0-base-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nghuyong/ernie-2.0-base-en")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nghuyong/ernie-2.0-base-en") model = AutoModel.from_pretrained("nghuyong/ernie-2.0-base-en") - Notebooks
- Google Colab
- Kaggle
[AUTOMATED] Model Memory Requirements
#4 opened about 2 years ago
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model-sizer-bot
Adding `safetensors` variant of this model
#3 opened over 3 years ago
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SFconvertbot
Question Generation
#2 opened over 3 years ago
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SudipThomas
Key Error with Latest Change
3
#1 opened almost 4 years ago
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dhairyadalal