Instructions to use Shengtao/simcse_recipe_title with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shengtao/simcse_recipe_title with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Shengtao/simcse_recipe_title")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Shengtao/simcse_recipe_title") model = AutoModel.from_pretrained("Shengtao/simcse_recipe_title", 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 sha256:7b1d9fa87ac3f390fb35eb14a2bc297ee28f9b5b2fb86b84b11eee19c5928aa3
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size 498609108
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