Instructions to use Rak-shit/Naya-Model-Summeriser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rak-shit/Naya-Model-Summeriser with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="Rak-shit/Naya-Model-Summeriser")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rak-shit/Naya-Model-Summeriser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download LED/IN_model/tokenizer.json from Rak-shit/Naya-Model-Summeriser: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/Rak-shit/Naya-Model-Summeriser/resolve/main/LED/IN_model/tokenizer.json
- Command line
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hf download hf://Rak-shit/Naya-Model-Summeriser/LED/IN_model/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Rak-shit/Naya-Model-Summeriser/resolve/main/LED/IN_model/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.