Comments (1)
您好,感谢您使用Data-Juicer!
有些op是基于模型实现的,比如language_id_score_filter
依赖于fasttext
。Data-Juicer本身会在cache 目录进行检测,如果找不到会分别从模型的原始链接和备用链接尝试下载,另外还有一些 op 需要从huggingface
进行下载,需要您的机器本身可以联网并支持下载。
这里建议您可以离线下载好,并放置到默认的 cache 目录。如果您下载到其他目录并想共用,可以通过设置环境变量export CACHE_HOME=your_cache_path
来设定。
Data-Juicer 默认的 cache 路径为~/.cache/data_juicer
, huggingface 默认的 cache 路径 为~/.cache/huggingface
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Related Issues (20)
- 3sigma在alphanumeric_filter中是如何计算的? HOT 3
- [Bug]: Error prepare_model() takes 1 positional argument but 2 were given in en
- Potential performance Issue: Slow read_csv() Function with pandas 2.0.0 HOT 2
- wechat 二维码过期了 HOT 1
- OP insight demo enhancement
- DJ-v.0.2 docker image update HOT 1
- DJ-v0.2 API page enhancement
- Video content compliance and privacy protection operators (image, text, audio)
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- support panda's student captioner model in our captioning mapper HOT 3
- [Bug]: Video_split_by_scene_mapper create non-exist video_keys
- [Feature Request] Implement more streamlined interfaces for users seeking minimal functionality (data_juicer.op.functional) HOT 2
- Request a sample code demonstrating the use of image_captioning_from_gpt4v_mapper.py HOT 3
- Can not download the data quality classifier models. HOT 1
- alphanumeric_filter算子清洗疑问 HOT 5
- Absolute path to relative path for multi-source
- [Bug]: process on ray occur "TypeError: 'str' object cannot be interpreted as an integer" HOT 8
- filter是否支持batch处理,以及怎么设置batch_size? HOT 5
- hash calculate in ray deduplicator HOT 4
- 为什么大部分的refined recipe都是用simhash去重? HOT 3
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