Instructions to use albert/albert-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albert/albert-base-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="albert/albert-base-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("albert/albert-base-v1") model = AutoModelForMaskedLM.from_pretrained("albert/albert-base-v1") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1e43f0c3775896f9b4860a60e1158ef0f21038f0858b77737af4e32453eebbe
- Size of remote file:
- 63 MB
- SHA256:
- 0616affccb135620b2cd3646832871ac97ae0852d00e0e302363e7b74b562c45
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