Instructions to use mjaydenkim/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjaydenkim/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mjaydenkim/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mjaydenkim/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("mjaydenkim/test_trainer") - 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 sha256:4979fb354a36a2c35cb62cd197118569cc8b17ac91ee95cb3eb7b7793f1f87c9
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size 498587648
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