Instructions to use Mentatko/dummy-model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mentatko/dummy-model3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mentatko/dummy-model3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mentatko/dummy-model3") model = AutoModelForSequenceClassification.from_pretrained("Mentatko/dummy-model3") - 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:cdc89698158e90abf994c46b36a53980dbc20f481f4308ea23bb10bfa68bb3ea
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size 442522304
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