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:
- 634989cdf233dbfb820053148c6906261bfad6d2b80fea49f14dfa235cd261ed
- Size of remote file:
- 908 MB
- SHA256:
- 3d155738c9430d2b88e853e98780bb5fd95918ed94cf5d616e83393c6e226633
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