Instructions to use AbeHou/SemStamp-c4-sbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbeHou/SemStamp-c4-sbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AbeHou/SemStamp-c4-sbert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AbeHou/SemStamp-c4-sbert") model = AutoModel.from_pretrained("AbeHou/SemStamp-c4-sbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 735427e775eb1c7fccf2e8c1e42d9a86b71c8411dc52462d84589310a4db8d90
- Size of remote file:
- 4.14 kB
- SHA256:
- 851702a559dc0b3281d6701695bd0149cb2fd8a19b9209943ed734a59efd3853
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