Instructions to use akadhim-ai/alberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akadhim-ai/alberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akadhim-ai/alberta_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akadhim-ai/alberta_base") model = AutoModelForSequenceClassification.from_pretrained("akadhim-ai/alberta_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15305ead342c38262459e760701d48d846a49f94ccc22ef8aa13da59967f1262
- Size of remote file:
- 499 MB
- SHA256:
- e3f145716fd1faa5b798794d0e330135a2d4f4ec3effff24c4b3890300f14da0
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