Instructions to use danielsaggau/scotus_max_linear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielsaggau/scotus_max_linear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danielsaggau/scotus_max_linear")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danielsaggau/scotus_max_linear") model = AutoModelForSequenceClassification.from_pretrained("danielsaggau/scotus_max_linear") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:a15738dc09f1e877fbf9ad23d58cac059286cb4b1281c6c6dd6dc26d76bffb7f
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size 167626048
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