Instructions to use albert/albert-large-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albert/albert-large-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="albert/albert-large-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("albert/albert-large-v1") model = AutoModelForMaskedLM.from_pretrained("albert/albert-large-v1") - Inference
- Notebooks
- Google Colab
- Kaggle
Update with-prefix-tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:953942d1dc42b615ed1c5f8c0ade9dd26978e2c1978f31d98f0bf441584f821d
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size 87181048
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