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swap-uniba
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Model Details
Model Provider
swap-uniba
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Base
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="None", 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
@inproceedings{PetruzzelliMartinaSimulating,author = {Petruzzelli, Alessandro and Martina, Alessandro Francesco Maria and Musto, Cataldo and de Gemmis, Marco and Lops, Pasquale and Semeraro, Giovanni},editor = {Konstan, Joseph A. and Karypis, George and Adomavicius, Gediminas and Chen, Minmin and Goethals, Bart and Willemsen, Martijn C.},title = {{Simulating Diverse User Behavioral Stereotypes for Evaluating Agentic Conversational Recommenders}},booktitle = {Proceedings of the 20th {ACM} Conference on Recommender Systems, RecSys 2026, Minneapolis, Minnesota, USA, September 28-October 2, 2026},publisher = {{ACM}},year = {2026},doi = {10.1145/3773078.3831840},url = {https://doi.org/10.1145/3773078.3831840}}