Instructions to use alicenkbaytop/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alicenkbaytop/model_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alicenkbaytop/model_output")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alicenkbaytop/model_output") model = AutoModelForTokenClassification.from_pretrained("alicenkbaytop/model_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:6cfaa8ac41df9a2ddbf871f075df85430cb914e96c13868b01eb81747edaa9ac
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size 265473092
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