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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbede400a87240c9fc586b558c30008a9f81f70542dc5e814dfa6a8c96e1f159
- Size of remote file:
- 499 MB
- SHA256:
- 4595019b837f298c1e92eef7e584ff53890ea4506754b7cc8821c0a84b375b7b
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