Instructions to use mholi/dummy_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mholi/dummy_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mholi/dummy_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mholi/dummy_model") model = AutoModelForSequenceClassification.from_pretrained("mholi/dummy_model") - 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:b81297c127523c7b688cc3aa59ecbb8fdc7c55ebd3f86a948ea1576b054f0cdc
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size 433274952
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