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fpadovani / training_goldfish_100mb
Model's Last Updated: April 21 2026
text-generation
Introduction of training_goldfish_100mb
Model Details of training_goldfish_100mb
Model Card for training_goldfish_100mb
This model is a fine-tuned version of goldfish-models/eng_latn_100mb . It has been trained using TRL .
Quick start
from transformers import pipeline
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="fpadovani/training_goldfish_100mb", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
Training procedure
This model was trained with SFT.
Framework versions
- TRL: 1.0.0
- Transformers: 5.4.0
- Pytorch: 2.11.0+cu128
- Datasets: 4.8.4
- Tokenizers: 0.22.2
Citations
Cite TRL as:
@software{vonwerra2020trl,
title = {{TRL: Transformers Reinforcement Learning}},
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
license = {Apache-2.0},
url = {https://github.com/huggingface/trl},
year = {2020}
}
Runs of fpadovani training_goldfish_100mb on huggingface.co
872
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0
24-hour runs
3
3-day runs
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7-day runs
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30-day runs
More Information About training_goldfish_100mb huggingface.co Model
Url of training_goldfish_100mb
training_goldfish_100mb huggingface.co Url
Provider of training_goldfish_100mb huggingface.co
Other API from fpadovani
Updated:September 08 2026
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