"task_max_waiting_in_queue_millis" : 0, "active_shards_percent_as_number" : 100.0 } 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 安装es-head可视化插件1.拉取镜像 docker pull mobz/elasticsearch-head:5 1. 2.启动镜像为容器: docker run -d --name ...
Use exporters, a Python conversion package built on top of Apple's coremltools (see below). This library gives you a lot more options to configure the conversion task. In addition, it lets you create your own conversion configuration class, which you may use for additional con...
This can be thought of as analogous to the text generation task where given some context, we sample the next token and pass it back into the decoder (also called "autoregressive generation"). Similarly here we can also, given some distribution type, sample from it to provide...
For the ITM objective, given an image and caption pair, the task is to predict whether the caption matches the image or not. The negative samples are usually randomly sampled from the dataset itself. The MLM and ITM objectives are often combined during the pre-training of m...
Note that Mask2Former still needs to be trained on each task separately to obtain state-of-the-art results. This has been improved by the OneFormer model, which obtains state-of-the-art performance on all 3 tasks by only training on a panoptic version of the dataset (!), by ...
The only change we make is that we pass the language and task arguments to our generate function, in order to ensure we perform speech transcription (not speech translation). Speculative decoding is fully compatible with both the speech transcription and translation tasks. Simply ...
Let's do a small finetuning with translation task experiment, using a t5-large model and the finetune_trainer.py script which you can find under examples/seq2seq in the transformers GitHub repo. We have 2x 24GB (Titan RTX) GPUs to test with. This is just a proof of ...
Task2: 是否支持孩子们到了一定年纪就开始做家务? Task3: 跟朋友谈论私密的话题应该选择公共场所还是家里? 听力部分 Conversation 1、学生认为冷冻蓝莓不健康,老师解释冷冻莓更健康的原因,后面说女生想当营养师,老师告诉他营养学分两种,但是去医院当营养师...
System prompts are used to steer the LLM into a better assistant that is tailored to the users' task. In the following, we use a system prompt that will make OctoCoder a better coding assistant. system_prompt = """Below are a series of dialogues between various people and an AI...
Early research predominantly used GAN and VAE-based approaches to auto-regressively generate frames given a caption (see Text2Filter and TGANs-C). While these works provided the foundation for a new computer vision task, they are limited to low resolutions, short-range, and singular,...