Instructions to use parkth/ai.keepit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parkth/ai.keepit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="parkth/ai.keepit")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("parkth/ai.keepit") model = AutoModelForSequenceClassification.from_pretrained("parkth/ai.keepit", 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 sha256:3a6b10c708fb54f689a5a4650035444727a2022ba12e17d7edb73c27ebfbde5e
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size 435703792
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