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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d4ef35ea7c6c919c85b05332bbfadaa685a2fa07d9fbb9b768077e6890e42cd
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size 433409996
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