🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools - datasets_huggingface/metrics/comet/comet.py at 06ae3f678651bfbb3ca7dd3274ee2f38e0e0237e · sanyaade-teachings/datasets_huggingface
HuggingFace Datasets HuggingFace's datasets can also be loaded into DataGrid directly because they use rows of dictionaries, and images are represented by PIL images. DataGrid will automatically convert PIL images into aKangas Image: importkangasaskgfromdatasetsimportload_datasetdataset=load_dataset("bean...
我们使用GPT模型的公共HuggingFace实现作为我们实验的基础,可在以下网站获得:https://github.com/huggingface/pytorch-openai-transformer-lm。 ConceptNet对于ConceptNet,我们使用1e-5的最大学习率和200 minibatches的warm-up期。学习率是线性衰减的,直到训练结束,即持续100k minibatch的时间。所有其他的超参数都与ATOMIC...
HuggingFace model card End User License Agreement By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA) Support Information xCOMET [XL] Contact us at support+aws@widn.ai https://widn.ai/ AWS Infrastructure AWS Support is...
optimized for real-time translation quality assessment. It evaluates machine translations by comparing source and translated texts, providing reliable quality scores that correlate well with human judgment. This is a commercial-friendly offering of the model publicly available athttps://huggingface.co/Unba...
行业的积极开源潮不仅体现在字节身上,DeepSeek、阶跃星辰、MiniMax等多家企业也相继响应,快速推出各自的开源模型,令整个AI生态系统愈加繁荣。以阿里巴巴为例,其发布的万相大模型在开源短短六天内便在HuggingFace平台上迅速崭露头角。这些开源行动不仅激发了技术的竞争,也掀起了合作的浪潮。
在过去的几个月里,国内AI领域的开源热潮愈演愈烈。除了字节,DeepSeek、MiniMax等公司此时纷纷推出自己的开源系列模型。值得一提的是,阿里云在开源方面的坚持也是行业的一个亮点。3月初,阿里的万相大模型短短6天便在HuggingFace获得了极大的关注,成为进入模型热榜的热门选择。
" trainer = ray.train.huggingface.transformers.prepare_trainer(trainer)\n", "\n", " # Start Training\n", " trainer.train()\n", "\n", " comet_ml.get_running_experiment().end()" "\n", " small_train_dataset, small_eval_dataset = get_dataset()\n", ...
sagemaker/log_custom_scripts/huggingface-text-classification/src text_classification.py 2 changes: 1 addition & 1 deletion 2 integrations/model-training/hugging_face/notebooks/Comet_with_Hugging_Face_Trainer.ipynb Original file line numberDiff line numberDiff line change @@ -242,7 +242,7 @@ ...
= "^1.5.4" entmax = "^1.1" huggingface-hub = "^0.16.0" protobuf = "^4.24.4" [tool.poetry.dev-dependencies] sphinx-markdown-tables = "0.0.15" coverage = "^5.5" scikit-learn = "0.24" [build-system] requires = ["poetry-core>=1.0.0"] build-backend = "poetry.core.masonry.api...