MODEL_T5_LARGE_FP32_JAX="7720beef-ac1a-4a5f-8777-505ea949a138" declare -a gpu_benchmark_ids=( "${MODEL_RESNET50_FP32_JAX}-batch1" "${MODEL_RESNET50_FP32_JAX}-batch8" "${MODEL_RESNET50_FP32_JAX}-batch64" "${MODEL_RESNET50_FP32_JAX}-batch128" "${MODEL_RESNET50_FP32...
The model was trained on a mixture of tasks, that includes the tasks described in the table below (from the original paper, figure 2):Training ProcedureAccording to the model card from the original paper:These models are based on pretrained T5 (Raffel et al., 2020) and fine-tuned with ...
Download the Vosk model for ASR fromhere. Open a terminal and run Piper TTS server program Open another terminal and run a main program python3 chat.py Acknowledgements The implementation of the project relies on: I thank the original authors for their open-sourcing....
悬镜安全 阿里云 SAE Codeblitz 我知道了,不再自动展开 附件 main Created with Raphaël 2.1.217Jul2Mar30Jan2416Nov1022Oct21Update README.md main Update README.md (#12) Adding `safetensors` variant of this model (#9) Adding generation config file(s) ...
Pull Requests 4月12日模力方舟 AI 应用沙龙 · 杭州站报名开放,产研前线第一手干货,AI 开发者必冲! 开源项目>人工智能>大模型 Watch 1Star0Fork0 modelee/flan-t5-large 欢迎使用 Pull Requests! Pull Requests 可以帮助您与他人协作编写代码。
CPU Model MT6761 Quad-Core Capacity 7500mAh Memory Type 4GB+32GB Front Camera 5MP Rear Camera 13MP Size 6.0'' 480*960 SIM Cards Inserting Mode Dual Nano / One Nano + TF Card Frequency (M5(3G)-A) 2G: B2/B3/B5/B8 3G: B1/B5/B8 ...
Second, we continuously pretrain the T5 model using the training set. This process involves encoding typhoon knowledge as parameters in the neural network's weights and fine-tuning the pretrained model with Q&A pairs to adapt the T5 model for downstream Q&A tasks. Third, when responding to user...
arrow_right folder code my_model calendar_view_week code history_df.csv Summary arrow_right folder 2 files arrow_right calendar_view_week 5 columns lightbulb See what others are saying about this dataset What have you used this dataset for? Learning 0Research 0Application 0LLM Fine-Tuning 0 ...
Model Flan-T5 Large Llama 2 13B DeepSeek-R1 ChatGPT 4 Empathy 3.5 2.0 4.8 5.0 Coherence 2.0 3.0 3.5 2.0 Informativeness 3.0 4.0 2.5 2.0 Fluency 4.0 5.0 3.2 3.0 ChatGPT 4 led in empathy (5.0), benefiting from advanced training on diverse datasets, while DeepSeek-R1 closely followed (4.8...
For its look, the T5 model draws on the design of its open-back sibling, the T1, replicating the sophisticated surface structure of the housing. To optimally cancel out external, ambient noise, the T5 does not, however, have acoustic openings and therefore presents it...