Instructions to use albert/albert-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albert/albert-large-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="albert/albert-large-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("albert/albert-large-v2") model = AutoModelForMaskedLM.from_pretrained("albert/albert-large-v2") - Inference
- Notebooks
- Google Colab
- Kaggle
wenxuan
#1
by wenxuanye - opened
No description provided.
Intertesting seems like 0 code change PRs are possible cc @pierric
@patrickvonplaten this PR is probably WIP. The first step is creating a new branch so this always happens
yep, we'll add a "Draft" status at PR creation in the coming weeks