Instructions to use albert/albert-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albert/albert-base-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="albert/albert-base-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("albert/albert-base-v2") model = AutoModelForMaskedLM.from_pretrained("albert/albert-base-v2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Listed on OpenModelMap
#9
by duola15 - opened
Listed on OpenModelMap β open-source model discovery engine.
albert base v2: benchmarks, deploy commands, hardware matching, license info β in one place: