Instructions to use longcld/t5_small_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longcld/t5_small_checkpoint with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longcld/t5_small_checkpoint") model = AutoModelForSeq2SeqLM.from_pretrained("longcld/t5_small_checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from longcld/t5_small_checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 25 Bytes
-
https://huggingface.co/longcld/t5_small_checkpoint/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://longcld/t5_small_checkpoint/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/longcld/t5_small_checkpoint/resolve/main/tokenizer_config.json
25 Bytes
| {"model_max_length": 512} |