Instructions to use telepatia-ai/laya-pt-es-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use telepatia-ai/laya-pt-es-nli with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download ATTRIBUTIONS.md from telepatia-ai/laya-pt-es-nli: direct link, hf CLI and curl.
- Browser
- Download file 764 Bytes
-
https://huggingface.co/telepatia-ai/laya-pt-es-nli/resolve/main/ATTRIBUTIONS.md
- Command line
-
hf download hf://telepatia-ai/laya-pt-es-nli/ATTRIBUTIONS.md
-
curl -L -o ATTRIBUTIONS.md https://huggingface.co/telepatia-ai/laya-pt-es-nli/resolve/main/ATTRIBUTIONS.md
Attributions
This checkpoint derives from convaiinnovations/laya-multilingual, revision 052592a15d198d9ad47da779604259b10b47b7aa. Its Hugging Face model card declares the Apache License 2.0.
Portuguese training and evaluation data came from InferBR by Lucas Bencke and contributors. The pinned source revision is b6c5e0b27e52477bbc5433d130b0a0e825cf74dc. InferBR is licensed under the MIT License.
Spanish training and evaluation data came from InferES by Venelin Kovatchev and contributors. The pinned source revision is c371a1915e6902b40182b2ae83c5ec7fe5e6cbd2. InferES is licensed under Creative Commons Attribution 4.0 International.
No source dataset rows, source audio, or third-party model documentation are redistributed in this repository.