Instructions to use susnato/ernie-m-large_pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susnato/ernie-m-large_pytorch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="susnato/ernie-m-large_pytorch")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("susnato/ernie-m-large_pytorch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6216797eb95efe8994106a75609254182ad1e069b0aa20077e9af165f7f119bf
- Size of remote file:
- 2.24 GB
- SHA256:
- 762e108e9712cf517b453a3e6227fc26fab1ab2942ddacc326e6035001c120c0
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