Instructions to use zxy1231/tm_simcse_en_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zxy1231/tm_simcse_en_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zxy1231/tm_simcse_en_model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zxy1231/tm_simcse_en_model") model = AutoModel.from_pretrained("zxy1231/tm_simcse_en_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a348c3da5b5b80a2cff03c682989a01afd1d4c01505afc821b4998abe6ed794
- Size of remote file:
- 438 MB
- SHA256:
- 57a5581e573cf9a29f545d2617e93953f871a98afea19467d1d19dbb9255eed1
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