Instructions to use hf-tiny-model-private/tiny-random-MegatronBertModel 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-MegatronBertModel 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-MegatronBertModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MegatronBertModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MegatronBertModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 234b30b013352854de48ee5e39acfba02bb66eec1bee79139a40b18af0f9f20e
- Size of remote file:
- 906 kB
- SHA256:
- 4d688e4151ad6d6f72ca2bf2f934016ca15b86817f81bdd0021540deb3697b4b
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