Instructions to use Mathissimo/alberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathissimo/alberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mathissimo/alberta_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mathissimo/alberta_base") model = AutoModelForSequenceClassification.from_pretrained("Mathissimo/alberta_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
c581100 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4595019b837f298c1e92eef7e584ff53890ea4506754b7cc8821c0a84b375b7b
size 498617024
|