Instructions to use Emanuel/porttagger-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emanuel/porttagger-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Emanuel/porttagger-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Emanuel/porttagger-base") model = AutoModelForTokenClassification.from_pretrained("Emanuel/porttagger-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0994e1b0c155e45fc366e2ec8db94bc58ef70e51be98e4df2eeed2907c7109c1
- Size of remote file:
- 3.44 kB
- SHA256:
- e99b30e8c2eff2767c16a4104e5c34cb83ab415ad85368c6aca5dac36cddc53f
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