Instructions to use DrewG/AAVE_PoS-Tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DrewG/AAVE_PoS-Tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DrewG/AAVE_PoS-Tagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DrewG/AAVE_PoS-Tagger") model = AutoModelForTokenClassification.from_pretrained("DrewG/AAVE_PoS-Tagger") - 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 sha256:4544e642fc0a5a3ba85f98e9069fbd090af17a618734dc8aed3c91cc9de057e4
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size 430958540
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