Instructions to use Labib11/pmc-uae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Labib11/pmc-uae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Labib11/pmc-uae")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Labib11/pmc-uae") model = AutoModel.from_pretrained("Labib11/pmc-uae", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Labib11/pmc-uae: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/Labib11/pmc-uae/resolve/main/tokenizer.json
- Command line
-
hf download hf://Labib11/pmc-uae/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Labib11/pmc-uae/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.