Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rlimonta/summarization_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rlimonta/summarization_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rlimonta/summarization_model") model = AutoModelForSeq2SeqLM.from_pretrained("rlimonta/summarization_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rlimonta/summarization_model: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/rlimonta/summarization_model/resolve/main/training_args.bin
- Command line
-
hf download hf://rlimonta/summarization_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rlimonta/summarization_model/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- 5abc418729408cc7ec098a5e72db8623c54199b87eaa85d8700655f545a10f64
- Size of remote file:
- 5.97 kB
- SHA256:
- 6402b92a47566db33bb396abae2b4f025f2fe5e2983e50dc63a24a62470a33c7
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