Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use jnelen/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jnelen/output with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jnelen/output") model = AutoModelForSeq2SeqLM.from_pretrained("jnelen/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jnelen/output: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/jnelen/output/resolve/main/training_args.bin
- Command line
-
hf download hf://jnelen/output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jnelen/output/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- 96034d4a73c093e532ac04c034611a2c67c9c6dc12fd0be07fe4102e02e38bb7
- Size of remote file:
- 3.71 kB
- SHA256:
- 4893814abe02aeceba4a8357b2e153b973e5309d4113465e0150eab8b75b3924
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