Instructions to use jvelja/vllm-gemma2b-stringMatcher-newDataset_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jvelja/vllm-gemma2b-stringMatcher-newDataset_3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jvelja/vllm-gemma2b-stringMatcher-newDataset_3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
597ae55 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3f289bc05132635a8bc7aca7aa21255efd5e18f3710f43e3cdb96bcd41be4922
size 17525357
|