Instructions to use heran/SBERT-am-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heran/SBERT-am-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="heran/SBERT-am-finetune")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("heran/SBERT-am-finetune") model = AutoModel.from_pretrained("heran/SBERT-am-finetune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9061164c657de59e1ffb961b1afb95a5e0afab558522095c235bb448a22b7c74
- Size of remote file:
- 13.6 MB
- SHA256:
- 92262b29204f8fdc169a63f9005a0e311a16262cef4d96ecfe2a7ed638662ed3
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