iris
Is this enough ? Do I need to change the definition of the model?
遇到同样的问题，之后我在inference.py内加了： `device = torch.device("cuda:0") if torch.cuda.is_available() else torch.device("cpu") input_ids = input_ids.to(device) # 该句加在input_ids = torch.LongTensor([ids])后面 ` 后面用CUDA_VISIBLE_DEVICES=0 python inference.py 命令还是报这个错
数据的开源太重要了，现在才觉得instruction tuning的开拓者斯坦福的羊驼模型是多么的慷慨，开源了自己的finetune数据集
同问，很多博客说已经开源，但仓库里并没有说数据从哪里下载
> 你可以留个联系方式，我这里有一些你说的资料，可以免费分享给你。 万分感谢！邮箱 [email protected]
> First, we need Amazon to add the Sagemaker Cohere Reranker model to Bedrock (and support on demand per-token/??? pricing!). I for one really hope they do this, soon. very...
If you are using the llama_index==0.9.32, The code should be like this: ``` from elasticsearch import AsyncElasticsearch from llama_index import GPTVectorStoreIndex client = AsyncElasticsearch("localhost:9200", api_key='your key', verify_certs=False) vector_store = ElasticsearchStore(...
I see several issues are related to the reranker models and they are all closed by the authors. Why? Is the reranker model planned? I do not see any reranker...
My system is also ubuntu 24.04 and when I build the SIBR viewer, it shows me this error two. I am considering downgrading my ffmpeg version.