Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use jnelen/summarization_model_test_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jnelen/summarization_model_test_full with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jnelen/summarization_model_test_full") model = AutoModelForSeq2SeqLM.from_pretrained("jnelen/summarization_model_test_full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jnelen/summarization_model_test_full: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/jnelen/summarization_model_test_full/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jnelen/summarization_model_test_full/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jnelen/summarization_model_test_full/resolve/main/pytorch_model.bin
308 MB
- Xet hash:
- af5057fea1da39a5b87470a3b9057207cd8ca7ef4e61aff90078355d7c5e2e1d
- Size of remote file:
- 308 MB
- SHA256:
- 4d24efd81268f17d2dd668c6adc9a90ebd43f44ca9e917848c17248cd4da19c4
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