Instructions to use voidism/diffcse-roberta-base-trans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidism/diffcse-roberta-base-trans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="voidism/diffcse-roberta-base-trans")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("voidism/diffcse-roberta-base-trans") model = AutoModel.from_pretrained("voidism/diffcse-roberta-base-trans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e036ed02a4c89dbe793ca8aca1324d30c799609b3731f2d45ef0745640831778
- Size of remote file:
- 1.49 GB
- SHA256:
- 887994f8b60a5e72c2b3063b05472612ef439c3862d0f887262296a8775e206c
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