Instructions to use lindeberg/LaMini-T5-61M_optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lindeberg/LaMini-T5-61M_optimized with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lindeberg/LaMini-T5-61M_optimized") model = AutoModelForSeq2SeqLM.from_pretrained("lindeberg/LaMini-T5-61M_optimized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lindeberg/LaMini-T5-61M_optimized: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/lindeberg/LaMini-T5-61M_optimized/resolve/main/tokenizer.json
- Command line
-
hf download hf://lindeberg/LaMini-T5-61M_optimized/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lindeberg/LaMini-T5-61M_optimized/resolve/main/tokenizer.json
2.42 MB
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