Instructions to use rosadecsai/led-large-16384-BASE3ep-ASPRPreACE3ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rosadecsai/led-large-16384-BASE3ep-ASPRPreACE3ep with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, MultiTask_LED tokenizer = AutoTokenizer.from_pretrained("rosadecsai/led-large-16384-BASE3ep-ASPRPreACE3ep") model = MultiTask_LED.from_pretrained("rosadecsai/led-large-16384-BASE3ep-ASPRPreACE3ep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rosadecsai/led-large-16384-BASE3ep-ASPRPreACE3ep: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/rosadecsai/led-large-16384-BASE3ep-ASPRPreACE3ep/resolve/main/tokenizer.json
- Command line
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hf download hf://rosadecsai/led-large-16384-BASE3ep-ASPRPreACE3ep/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/rosadecsai/led-large-16384-BASE3ep-ASPRPreACE3ep/resolve/main/tokenizer.json
3.56 MB
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