例如,如果你的模型是基于BERT的,那么你应该将model_type设置为"bert"。如果你使用的是自定义模型,你可能需要将其设置为一个描述性名称,如"custom_bert"或"custom_llm"。 保存并关闭config.json文件: 在编辑器中保存你的更改,并关闭文件。 以下是一个完整的config.json文件示例,其中包含model_type键: json { "...
float不是类. 2. 查看JDK源码就可以发现Byte，Character，Short，Integer，Long，
New issue Open Description pymask 你把这个模型的文件夹改为以小写英文"bert"开头的名称即可,如"bert-finance-L-12_H-768_A-12_pytorch",同时文件夹里面的json文件改为:config.json Sign up for freeto join this conversation on GitHub.Already have an account?Sign in to comment...
ValueError: Unrecognized model in deepghs/animefull-latest. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albert, align, altclip, audio-spectrogram-transformer, autoformer, bark, bart, beit, bert, bert-generation, big_bird, bigbird...
python pretrain.py name=test arch=hf-bert-base train=bert-base data=sanity-check-2 dryrun=True impl.microbatch_size=2 This command pre-processes a small sanity-check dataset, and runs a single training step. General Usage Use thepretrain.pyscript to pretrain with limited compute. This rep...
Bertsioa Azure SDK for .NET Legacy Bilatu Azure para desarrolladores de .NET Introducción a Azure con .NET Introducción a Azure y .NET Servicios de Azure clave para desarrolladores de .NET Configuración del entorno de desarrollo
The present numerical results are compared with experiments conducted in the large air/sea facility of IRPHE at Marseille Luminy.P. Robin∗∗∗O. Kimmoun∗∗∗C Kharif∗∗∗∗ Ecole Centrale Marseille∗∗ IRPHETechnopoˆle de Chaˆteau-Gombert...
I believe jina-bert-v2 will be covered by#3747@ahuguenard-logilityI can't tell what model you were trying to load from the log. If it's not already in covered by a model request issue go ahead and file a new issue so we can track it. ...
Hi, I'm using agx xavier, L4T: 35.4.1, JP:5.1.2, started: riva_quickstart_arm64_v2.12.0. (IP: 192.168.0.40) and I have one orin agx, JP 6. running docker: dustynv/local_llm:r36.2.0 (IP: 192.168.0.46) seems orin can connect to riva server...
Lobell, D.B.; David, T.; Christopher, S.; Eric, E.; Bertis, L. A scalable satellite-based crop yield mapper. Remote Sens. Environ. 2015, 164, 324–333. [Google Scholar] [CrossRef] Skakun, S.; Franch, B.; Vermote, E.; Roger, J.-C.; Becker-Reshef, I.; Justice, C.; Ku...