Text Classification
Transformers
Safetensors
Laya
system-one
typed-decisions
nli
memory-conflict
multilingual
fine-tuned
Eval Results (legacy)
Instructions to use slow-stack/laya-nli-memory-conflict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slow-stack/laya-nli-memory-conflict with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="slow-stack/laya-nli-memory-conflict")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("slow-stack/laya-nli-memory-conflict", device_map="auto") - Laya
How to use slow-stack/laya-nli-memory-conflict 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
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