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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("explosion-testing/albert-test") model = AutoModelForMaskedLM.from_pretrained("explosion-testing/albert-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Daniël de Kok +1: SFconvertbot Verified signature- Adding `safetensors` variant of this model (d0acd17d05bedbcb35159e49a0f156e3db85c40d) Co-authored-by: Safetensors convertbot <[email protected]>6f58fb2
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Upload tokenizer.json
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Add ALBERT test model
Daniël de Kok5971504 -
initial commit
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