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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e61f2baaab9a54c637bbf3e10c15d7431c7727665ac1e13aaef4a113033ea7ac
- Size of remote file:
- 893 MB
- SHA256:
- 69bfc5c8f78b645cec01010acc55e038d9d4781f1f57975c354df648910e63d0
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