Instructions to use explosion-testing/albert-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use explosion-testing/albert-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="explosion-testing/albert-test")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("explosion-testing/albert-test") model = AutoModelForMaskedLM.from_pretrained("explosion-testing/albert-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c530e1dcac845118686214f8f4ddbaa5fdbf303a4e6c920014dec13f5defd28d
- Size of remote file:
- 869 kB
- SHA256:
- f587e23ade8cb5e22a307b4a08693ec90a9f1e169874a4d9a3ba281c1be454d6
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