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") - Inference
- Notebooks
- Google Colab
- Kaggle
Adds the tokenizer configuration file (#6)
Browse files- Adds tokenizer_config.json file (0468c4adb0e963d3784b646fd54633452865c380)