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")# pip install -U transformers accelerate # 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: 129 Bytes
149be14 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a8cf3420fec0bc18fb6979afe9f792bca333b9ce8545352fc755393a20acf4a0
size 3311
|