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")# pip install -U transformers accelerate # 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
Download tokenizer.json from albert/albert-xxlarge-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.31 MB
-
https://huggingface.co/albert/albert-xxlarge-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://albert/albert-xxlarge-v2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/albert/albert-xxlarge-v2/resolve/main/tokenizer.json
1.31 MB
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