Instructions to use sxandie/model27Nov2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sxandie/model27Nov2023 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sxandie/model27Nov2023")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("sxandie/model27Nov2023") model = AutoModelForTokenClassification.from_pretrained("sxandie/model27Nov2023", device_map="auto") - 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 sha256:41c77986556819d04bb151c7bba2f03d25b006ee310f99a810d0e66160a3c59b
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size 503808468
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