"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 ...
().create_task( progress(d, t, event, c_time, "trying to upload") ) ) except Exception as e: await event.edit(str(e)) else: end = datetime.now() os.remove(input_str) ms = (end - start).seconds await event.edit("Uploaded in {} seconds.".format(ms)) else: await event...
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The text-to-video task faces unique challenges on multiple fronts. Some of these main challenges include: Computational challenges: Ensuring spatial and temporal consistency across frames creates long-term dependencies that come with a high computation cost, making training such models unafford...
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It requires no coding: enter the Hub model identifier, select the task you plan to use the model for, and click apply. If the conversion succeeds, you can push the converted Core ML weights to the Hub, and you are done! You can visit the Space or use it directly here: ...
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 ...
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...
In this blog post, we're going to leverage the vanilla Transformer (Vaswani et al., 2017) for the univariate probabilistic forecasting task (i.e. predicting each time series' 1-d distribution individually). The Encoder-Decoder Transformer is a natural choice for forecasting as ...
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