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README
Quick start
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/rus-cyrl-100mb-hu-baseline", 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: 0.13.0
- Transformers: 5.4.0
- Pytorch: 2.11.0
- Datasets: 4.8.5
- Tokenizers: 0.22.2
Citations
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 Gallouédec},year = 2020,journal = {GitHub repository},publisher = {GitHub},howpublished = {\url{https://github.com/huggingface/trl}}}
Model provider
fpadovani
Model tree
Base
goldfish-models/rus_cyrl_100mb
Fine-tuned
this model
Modalities
Input
Text
Output
Text
Pricing
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Model APIs
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