Instructions to use Mahmoud8/ernie-m-base_pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud8/ernie-m-base_pytorch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud8/ernie-m-base_pytorch")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Mahmoud8/ernie-m-base_pytorch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cda2cf7cd66e5d78c89c55d4cfcd3822fadc7895d5b0944c907de74d2c021702
- Size of remote file:
- 4.03 kB
- SHA256:
- 9a971d62360a0951d272c185770c9b297f49f1dcd32dd7fc5ad0cfa10ec2dc12
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