Sentence Similarity
Transformers
PyTorch
mt5
feature-extraction
cross-lingual
multilingual
question-answering
retrieval
variational
custom_code
Instructions to use jwieting/vmsst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jwieting/vmsst with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jwieting/vmsst", trust_remote_code=True) model = AutoModel.from_pretrained("jwieting/vmsst", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:046247e48d034d5938e3bc724c1ecb8b213a181184b176a30d795e9e75f0cca5
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size 2262010640
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