Instructions to use hf-internal-testing/tiny-random-AlbertForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-AlbertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-AlbertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-AlbertForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b834ec6c7d6e1c6ccbf9f1d4e5074c7f23dade1b9283f739ef27f23c290405f1
- Size of remote file:
- 31.9 MB
- SHA256:
- 53b88f9a037a580c52371a523101b09da923e45f2517b11b68db864cf0dfea3f
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