Instructions to use Labib11/pmc-uae-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Labib11/pmc-uae-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Labib11/pmc-uae-full")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Labib11/pmc-uae-full") model = AutoModel.from_pretrained("Labib11/pmc-uae-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e95eceec09d8fe955d29a38e6c10e6fecb92f185b315e07e0fe8b13e49cd29a3
- Size of remote file:
- 5.05 kB
- SHA256:
- 4552838bfc5d71918789d6ff9eeaa65a453367b3716de448a0c2f1a5e8d75a33
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