Instructions to use albert/albert-xlarge-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albert/albert-xlarge-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="albert/albert-xlarge-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("albert/albert-xlarge-v1") model = AutoModelForMaskedLM.from_pretrained("albert/albert-xlarge-v1") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ab53634 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:60b7d15d319de082ab1ed81bfc26c822422ae2a66e46a752f7f609072744cfb7
size 236197176
|