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 pytorch_model.bin from jnelen/output: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/jnelen/output/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jnelen/output/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jnelen/output/resolve/main/pytorch_model.bin
308 MB
- Xet hash:
- e80234cd554bf3b08a3c7583d700276324e40863739668f6cf8543289b260193
- Size of remote file:
- 308 MB
- SHA256:
- 5b9ace6c4434c6f76ac80773726743d609f8996ab98acc6b0ca31743d1ce3239
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