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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
ca30398 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:851702a559dc0b3281d6701695bd0149cb2fd8a19b9209943ed734a59efd3853
size 4143
|