Instructions to use albertan017/hashencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albertan017/hashencoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="albertan017/hashencoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("albertan017/hashencoder") model = AutoModel.from_pretrained("albertan017/hashencoder") - 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 sha256:438ddb3d91bda975c660d5a1a4d2d6a2bc6856c0a1decb1c4308d8e5fb0d26ef
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size 738859508
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