Instructions to use adasgaleus/insertion-prop-05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adasgaleus/insertion-prop-05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="adasgaleus/insertion-prop-05")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("adasgaleus/insertion-prop-05") model = AutoModelForTokenClassification.from_pretrained("adasgaleus/insertion-prop-05") - 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:e2ec4feab5b1c06a7798c302d763ad5df926080c684f8843ab82e40c92b50003
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size 265470008
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