Instructions to use erickdp/albert-tiny-q-o-032123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erickdp/albert-tiny-q-o-032123 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="erickdp/albert-tiny-q-o-032123")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("erickdp/albert-tiny-q-o-032123") model = AutoModelForSequenceClassification.from_pretrained("erickdp/albert-tiny-q-o-032123") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8ccfae4f21ad54ab5208b140d99ba10555dfa3c1570cd6c92f0ac1ad934bf86
- Size of remote file:
- 3.58 kB
- SHA256:
- 185fee310586672e641fb4844311c36ea094ad145c46056f8d8ecea4fe4e7f8c
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