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:
- fe65ca0bbb8fe7add1f55014f290b70bb8cd364d3205bbb97a03d267178da172
- Size of remote file:
- 1.88 GB
- SHA256:
- 75fcc75c202d852beabc1c2fe980020ad02f2a88ecabdffcea3f76713b9befe9
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