Comments (4)
MaartenGr
commented on June 4, 2024
What happens if you use "command" instead of "xlarge"? I believe the latter might be outdated. Also, it seems that cohere has updated parts of their API. So using co.chat seems to be the alternative to co.generate as mentioned here.
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jayita13
commented on June 4, 2024
Thanks for the response @MaartenGrl, although since I'm using free trail its limited to 5API calls per minute. Hence looking for a wayout here
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MaartenGr
commented on June 4, 2024
What exactly do you mean? Did the suggestions I made work for you?
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jayita13
commented on June 4, 2024
Yeah it resolved the api call error. But since I'm using cohere free tier the api calls are limited to 5 per minute and hence wasn't able to get through it.
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Related Issues (20)
- How to create layers for DataMapPlot HOT 2
- Representation on very large documents with LLMs cuts out its own prompts issue HOT 3
- list index out of range error in topic reduction HOT 1
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- Home page get_topic_info() function not understood HOT 5
- Set random seed in `hierarchical_topics`? HOT 9
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- Unable to Display More Than 10 Words per Topic in BERTopic Despite top_n_words Setting HOT 8
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- `hierarchical_topics()` produce incorrect output when three topics have the same distance
- hierarchical_topics() produce incorrect output when three topics have the same distance HOT 4
- Quiet .merge_topics() HOT 9
- How to Predict New Data Topics with BERTopic Model Loaded from Hugging Face in Python? (Automated solution) HOT 1
- AttributeError: 'TextGeneration' object has no attribute 'random_state' HOT 3
- Unable to merge models when there are more than one representation model. HOT 2
- WARNING: bertopic 0.16.0 does not provide the extra 'visualization' HOT 1
- Can I merge_topics() after reduce_outliers() and update_topics() HOT 4
- visualize_topics() 's problem HOT 2
- AttributeError: type object 'BERTopic' has no attribute 'merge_models' though in the documentation, there has merge_models HOT 2
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