Instructions to use hf-internal-testing/tiny-random-MegatronBertModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegatronBertModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MegatronBertModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MegatronBertModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MegatronBertModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d4b56eb07ac16c912098deb89f09b5e67663303f5f48fdd05a4d4b10148b26e
- Size of remote file:
- 888 kB
- SHA256:
- 1e329c78c9d6da56186efc0ef8801ea9a922d00dd52ce69481f28689fd7db5d9
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