Instructions to use MarcoMancini/low-law-emb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarcoMancini/low-law-emb with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MarcoMancini/low-law-emb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:Config file config.json cannot be fetched (too big)
Configuration Parsing Warning:Config file tokenizer_config.json cannot be fetched (too big)
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
version https://git-lfs.github.com/spec/v1 oid sha256:7f91b71dee029cf890650508c68e62ba4d494adddb8039b458311061d36a28a5 size 2437
- Downloads last month
- 14
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support