Instructions to use mongdiutindei/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mongdiutindei/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mongdiutindei/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mongdiutindei/dummy-model") model = AutoModelForSequenceClassification.from_pretrained("mongdiutindei/dummy-model", 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 sha256:111d9a84f6b92ccceabd6b3568d802b6c7a4c88df0e66c0903969fc6115a6f01
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size 437958648
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