Instructions to use albert/albert-xxlarge-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albert/albert-xxlarge-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="albert/albert-xxlarge-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("albert/albert-xxlarge-v2") model = AutoModelForMaskedLM.from_pretrained("albert/albert-xxlarge-v2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2dbb783690975c7c4f8930d633ca1ef22023616d211dfc33867924f094dc8ed
- Size of remote file:
- 908 MB
- SHA256:
- 111c11f064e97caef3adb571c7ac6665e772ad6c142a50b968cd4edaef0d03c8
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