Instructions to use kemalcankara/anlp2023_fall_nerModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kemalcankara/anlp2023_fall_nerModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kemalcankara/anlp2023_fall_nerModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kemalcankara/anlp2023_fall_nerModel") model = AutoModelForTokenClassification.from_pretrained("kemalcankara/anlp2023_fall_nerModel") - 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:f5dfff5338a49c393ad5e68fc9bbe04f977c9322c6d2e4104af5673082a498af
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size 260997464
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