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3 artefactsfinal_adapter/adapter_model.safetensors
safetensors · 193 MB · SHA-256 1cd93d071548…bf77
last-checkpoint/adapter_model.safetensors
safetensors · 96,7 MB · SHA-256 b9099370272d…2fe5
last-checkpoint/scaler.pt
pt · 1,35 KB · SHA-256 9be1d3e9114d…8641
Extraits de sources
3 extraits--- base_model: unsloth/gemma-4-e2b-it-unsloth-bnb-4bit library_name: transformers model_name: gemma4-asr-fleurs tags: - generated_from_trainer - trl - sft - unsloth licence: license --- # Model Card for gemma4-asr-fleurs This model is a fine-tuned version of [unsloth/gemma-4-e2b-it-unsloth-bnb-4bit](https://huggingface.co/unsloth/gemma-4-e2b-it-unsloth-bnb-4bit). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python 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="Sibishreekapture/gemma4-asr-fleurs", device="cuda") output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] print(output["generated_text"]) ``` ## Training procedure [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/sibishree-m-kapture/gemma4-asr-ft/runs/ualb3m2a) This model was trained with SFT. ### Framework versions - TRL: 0.24.0 - Transformers: 5.5.0 - Pytorch: 2.10.0+cu128 - Datasets: 4.3.0 - 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 Gallou{\'e}dec}, year = 2020, journal = {GitHub repository}, publisher = {GitHub}, howpublished = {\url{https://github.com/huggingface/trl}} } ```
Source context: 0 downloads · 0 likes · Library transformers · Repo Sibishreekapture/gemma4-asr-fleurs
Source context: 0 downloads · 0 likes · Library transformers · Repo Sibishreekapture/gemma4-asr-fleurs