Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Kafaite24/t5-mlsum_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kafaite24/t5-mlsum_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Kafaite24/t5-mlsum_2") model = AutoModelForSeq2SeqLM.from_pretrained("Kafaite24/t5-mlsum_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Kafaite24/t5-mlsum_2: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/Kafaite24/t5-mlsum_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Kafaite24/t5-mlsum_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Kafaite24/t5-mlsum_2/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- 314bcd8b9b10e3a341cd0edb83446c68423e4369213302da238f86c8cf2bd0f7
- Size of remote file:
- 2.95 GB
- SHA256:
- 1b4721506f1d3c5311048fab27c5ea4d477aeb2585d8bd6d1cbd6714d6a7d869
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