Instructions to use albert/albert-large-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albert/albert-large-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="albert/albert-large-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("albert/albert-large-v1") model = AutoModelForMaskedLM.from_pretrained("albert/albert-large-v1") - Inference
- Notebooks
- Google Colab
- Kaggle
Adds the tokenizer configuration file (#2)
Browse files- Adds tokenizer_config.json file (b3c11633660334174a975174c27ae0a606c35aa4)