Instructions to use pfnet/plamo-embedding-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pfnet/plamo-embedding-1b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pfnet/plamo-embedding-1b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b7471cd9b97b3053d5ba6ffd4a884e6e44f903a449676db07b6e3a7046f902d
- Size of remote file:
- 805 kB
- SHA256:
- 9603895be773fe5807f5183bf9279da4df3a81ce5941a1a9521e8b496201c69a
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