Instructions to use nreimers/albert-small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nreimers/albert-small-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nreimers/albert-small-v2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nreimers/albert-small-v2") model = AutoModel.from_pretrained("nreimers/albert-small-v2") - Notebooks
- Google Colab
- Kaggle
Curiously: whey the torch.bin model size is same as albert-base-v2 like 46.7m?
#2 opened about 3 years ago
by
edwardchen
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot