Instructions to use mbouilloud/DataAug1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbouilloud/DataAug1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mbouilloud/DataAug1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mbouilloud/DataAug1") model = AutoModelForSequenceClassification.from_pretrained("mbouilloud/DataAug1") - 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 sha256:8179537e4b6e02a8415631a952a4602c10ade729b1c602cef9b8a1ec469e413c
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size 556803760
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