Instructions to use princeton-nlp/sup-simcse-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use princeton-nlp/sup-simcse-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="princeton-nlp/sup-simcse-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/sup-simcse-bert-base-uncased") model = AutoModel.from_pretrained("princeton-nlp/sup-simcse-bert-base-uncased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#6 opened about 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#5 opened about 1 year ago
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SFconvertbot
Missing Readme
#4 opened over 1 year ago
by
kardosdrur
Adding `safetensors` variant of this model
#3 opened over 3 years ago
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SFconvertbot
Upload Rust model
#2 opened over 3 years ago
by
notnami
Add TF weights
1
#1 opened about 4 years ago
by
joaogante