Instructions to use apperry-ai/fact_extraction_roberta_crf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apperry-ai/fact_extraction_roberta_crf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="apperry-ai/fact_extraction_roberta_crf")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("apperry-ai/fact_extraction_roberta_crf") model = AutoModelForTokenClassification.from_pretrained("apperry-ai/fact_extraction_roberta_crf") - 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:f4ec7bb3048e7fd276475a7a28c838f3a64d0990c30023aef2c34ac8e520262f
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size 496282132
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