Instructions to use Yanhao/simcse-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yanhao/simcse-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Yanhao/simcse-roberta-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Yanhao/simcse-roberta-large") model = AutoModel.from_pretrained("Yanhao/simcse-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
0278ff5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b6bd83e8c46ae2d4c0ee035a8ce0d16c73cc4dd0369953db0e7b4cc2b61e9d94
size 1421566897
|