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Language Model Zoo 🦍
This thread’s objective is to discuss the ULMFiT implementations in different languages and share our roadblocks and approaches. A word to newcomers This thread is huge, and can be overwhelmed, but there is an easy way …
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Language Model Zoo 🦍
https://forums.fast.ai/t/language-model-zoo-gorilla/14623/18
This thread’s objective is to discuss the ULMFiT implementations in different languages and share our roadblocks and approaches. A word to newcomers This thread is huge, and can be overwhelmed, but there is an easy way …
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Language Model Zoo 🦍
This thread’s objective is to discuss the ULMFiT implementations in different languages and share our roadblocks and approaches. A word to newcomers This thread is huge, and can be overwhelmed, but there is an easy way …
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8- titleLanguage Model Zoo 🦍 - #18 by jeremy - Part 2 & Alumni (2018) - fast.ai Course Forums
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- descriptionThis thread’s objective is to discuss the ULMFiT implementations in different languages and share our roadblocks and approaches. A word to newcomers This thread is huge, and can be overwhelmed, but there is an easy way …
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- twitter:titleLanguage Model Zoo 🦍
- twitter:descriptionA note to those folks building langage models: there’s no reason to go beyond 100 million tokens - in my experiments it didn’t help. So if your corpus is bigger than that, remove some of the smaller articles (for instance) until the corpus is down to that size. Really large corpuses are a pain to work with, and don’t have any benefits I saw.
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