Instructions to use mohitskaushal/LED-Layman-Simplified-Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohitskaushal/LED-Layman-Simplified-Final with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mohitskaushal/LED-Layman-Simplified-Final") model = AutoModelForSeq2SeqLM.from_pretrained("mohitskaushal/LED-Layman-Simplified-Final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mohitskaushal/LED-Layman-Simplified-Final: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/mohitskaushal/LED-Layman-Simplified-Final/resolve/main/tokenizer.json
- Command line
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hf download hf://mohitskaushal/LED-Layman-Simplified-Final/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/mohitskaushal/LED-Layman-Simplified-Final/resolve/main/tokenizer.json
3.56 MB
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