gpt2-km-wikimulti
dehanalkautsar基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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gpt2-mi-wikimulti
dehanalkautsar基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gpt2-ne-wikimulti
dehanalkautsar基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗wav2vec2-large-xlsr-53-lithuanian
DeividasM基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗chrome_models
dejanseoFollowing is the complete list of machine learning models in Chrome many of which are on your device. They are located in your User Data folder and you can easily check to see which ones you have as they are all in numbered folders. Gemini Nano Download Link: Intercepted model download URL: http://edgedl.me.gvt1.com/edgedl/release2/chrome_component/adhtst3uf2cltjrk6xr625t2jwbq_2024.9.25.2033/fklghjjljmnfjoepjmlobpekiapffcja_2024.9.25.2033_all_adzzukuhpsemphsujkjgzvmtrunq.crx3
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View details ↗Javne_Nabavke_embedding_1000
DejanX13基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Poverenik_embedding_doc_2000
DejanX13基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗28
Dekonstruktio基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗29
Dekonstruktio基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen2.5-VL-3B-Instruct-GGUF
dekthedev基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗chatterbox-nano-GGUF
delebash基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gensyn-swarm-checkpoints
delist基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗lt-wikidata-comp-en
dell-research-harvard基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗v0-llama2-100k
delphi-suite基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Nanuq-R1-14B
Delta-Vector基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Nanbeige-4.1-Python-DeepThink-3B
deltakitsune基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bigllama3.2-3b-to-7b
deltanym基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bigllama3.2-3b-to-9b
deltanym基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gemma-4-12b-it-companion-Q4_K_M
Delysidz基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gpt2-demo
demo-leaderboardGPT-2 is a transformers model pretrained on a very large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any way (which is why it can use lots of publicly available data) with an automatic process to generate inputs and labels from those texts. More precisely, it was trained to guess the next word in sentences. More precisely, inputs are sequences of continuous text of a certain length and the targets are the same sequence, shifted one token (word or piece of word) to the right. The model uses internally a mask-mechanism to make sure the predictions for the token i only uses the inputs from 1 to i but not the future tokens. This way, the model learns an inner representation of the English language that can then be used to extract features useful for downstream tasks. The model is best at what it was pretrained for however, which is generating texts from a prompt.
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