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fpadovani
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Model Details
Model Provider
fpadovani
Model Tree
Base
goldfish-models/jpn_jpan_10mb
Fine-tuned
this model
Input Modalities
Text
Output Modalities
Text
Supported Functionality
Dedicated Endpoints
Container
python
from transformers import pipelinequestion = "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/jpn-jpan-10mb-ppt-Dp-100mb_seed455", device="cuda")output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]print(output["generated_text"])
This model was trained with SFT.
Cite TRL as:
bibtex
@misc{vonwerra2022trl,title = {{TRL: Transformer Reinforcement Learning}},author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},year = 2020,journal = {GitHub repository},publisher = {GitHub},howpublished = {\url{https://github.com/huggingface/trl}}}