Instructions to use hf-tiny-model-private/tiny-random-ErnieMModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ErnieMModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-ErnieMModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-ErnieMModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b543eb96ad8b8d64d6caa0b535aaaa47e2ad03968ad24b6da986e759d8d894c
- Size of remote file:
- 32.2 MB
- SHA256:
- 7a6d50d006c24d69f8d452a30bda9c6fb6fb198d98db70b495a6cdb5de189f3f
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