Instructions to use CoReProg/IntSemAge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoReProg/IntSemAge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CoReProg/IntSemAge")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CoReProg/IntSemAge") model = AutoModelForSequenceClassification.from_pretrained("CoReProg/IntSemAge") - 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 sha256:96ae9ef15fbd40c75dcf0a5ee50a4801d89f5e3d29f9bbf3ebb16b7b15690677
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size 437981288
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