Instructions to use ankur-gupta/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ankur-gupta/dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ankur-gupta/dummy")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ankur-gupta/dummy") model = AutoModel.from_pretrained("ankur-gupta/dummy") - 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:dea12b9e3e6b1866b5068e2037b359ad4443b9b942f29c0c239efded60e5264e
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size 242041984
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