Text Classification
Transformers
Safetensors
Laya
minimal
snapshot
english-checkpoint
fine-tuning
french
Instructions to use PIXMELT/laya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PIXMELT/laya with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PIXMELT/laya")# pip install -U transformers accelerate # Load model directly from transformers import LayaTypedDecisions model = LayaTypedDecisions.from_pretrained("PIXMELT/laya", device_map="auto") - Laya
How to use PIXMELT/laya 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 .gitattributes from PIXMELT/laya: direct link, hf CLI and curl.
- Browser
- Download file 51 Bytes
-
https://huggingface.co/PIXMELT/laya/resolve/main/.gitattributes
- Command line
-
hf download hf://PIXMELT/laya/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/PIXMELT/laya/resolve/main/.gitattributes
51 Bytes
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |