Instructions to use mantra-coding/alBERTo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mantra-coding/alBERTo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mantra-coding/alBERTo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mantra-coding/alBERTo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63039f6c8c692f868e5cac49ac0a903904e9aa773c6f4f976d210be14a01936f
- Size of remote file:
- 499 MB
- SHA256:
- c464d29c3bcc3dd465d1f1a58abe28f003be1632c67924f958cad67504120f1d
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