Samfuran Serialization Formats
Serialization na samfuri shine yadda samfurin koyan injuna ke samun adanawa zuwa faifai don a loda shi kuma a gudanar da shi daga baya, akan na'ura daban ko cikin yare daban.
Dubawa
The format you choose affects portability, speed, file size, and even security.
Zurfafa nutsewa
Bayan horo, samfurin lambobi ne kawai (masu nauyi) tare da bayanin gine-ginensa. Serialization yana rubuta wannan yanayin cikin fayil. Daban-daban yanayin muhalli suna amfani da tsari daban-daban. Pytorch's pickle da PyTorch's tsoho .pt fayiloli sun dace amma sun ɗaure ku zuwa Python kuma suna iya aiwatar da code na sabani akan kaya, yana mai da su haɗarin tsaro tare da fayiloli marasa amana. ONNX (Open Neural Network Exchange) tsari ne na tsaka-tsaki wanda ke barin samfurin da aka horar da shi a cikin PyTorch ya gudana a wani lokacin aiki ko yare. SavedModel da tsohuwar HDF5 suna hidimar TensorFlow da Keras. Don manyan nau'ikan harshe, safetensors ya zama sananne saboda yana adana bayanan tensor kawai a cikin sauƙi, sauri, shimfidar wuri mai ƙima ba tare da aiwatar da lambar ba, yana mai da shi duka mafi aminci da sauri don ɗauka. Ana amfani da GGUF don gudanar da ƙididdige LLMs da kyau akan kayan aikin gida.
Fahimtar Fasaha
Maɓallin ciniki-kashe yana tsakanin tsarin-na ƙasa da tsarin musanyawa. Tsarin asali (Pickle, .pt) yana ɗaukar cikakkun abubuwan Python amma suna buƙatar lamba iri ɗaya don ɓata kuma suna iya aiwatar da lambar ɓoye. Musanya tsarin kamar ONNX yana fitar da jadawali na lissafi da ma'auni zuwa daidaitaccen tsari (ta amfani da buffers protocol) don haka kowane lokaci mai dacewa zai iya aiwatar da shi. Safetensors yana tafiya kaɗan: ƙaramin jigon JSON wanda ke kwatanta kowane nau'in tensor, siffarsa, da dtype, sannan da ɗanyen bytes, yana ba da damar kwafin ƙwaƙwalwar ajiya.
Dabarun Tasiri
Kudin da kasafin kuɗi
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Shawarwari masu haske
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Kula da inganci
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Makomar Samfurin Serialization Formats
Yi tsammanin ci gaba da ƙarfafawa a kusa da amintattun, tsarin šaukuwa. Safetensors yana zama tsoho don raba ma'aunin ƙira a bainar jama'a saboda yana cire haɗarin kisa na pickles, kuma GGUF shine ma'auni na gaskiya don ƙimar LLM na gida tare da ƙididdigewa. ONNX yana ci gaba da faɗaɗa azaman gada tsakanin tsarin horo da ingantattun lokutan aika aiki akan na'urori, masu bincike, da masu haɓakawa. Gabaɗaya yanayin ya fi son tsarin da ba shi da tsaka-tsakin harshe, ingantaccen ƙwaƙwalwar ajiya, kuma amintaccen ta ƙira.
Aiwatar da Gaskiyar Duniya
Ƙungiya tana horar da samfuri a cikin PyTorch, suna fitar da shi zuwa ONNX, kuma suna gudanar da shi cikin aikace-aikacen C # ba tare da dogaro da Python ba.
Rungumar fuska tana rarraba ma'aunin ƙira a matsayin masu kiyayewa don haka masu amfani za su iya zazzage su ba tare da haɗarin aiwatar da lambar mugu ba.
Mai haɓakawa yana zazzage fayil ɗin GGUF na LLM mai ƙididdigewa don gudanar da shi a cikin gida akan CPU kwamfutar tafi-da-gidanka.
Sabis na TensorFlow yana ɗaukar kundin adireshi na SavedModel mai ɗauke da jadawali da masu canji don hidimar tsinkaya ta API.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Ci gaba da Bincike
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the Model Serialization Formats quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
Jagora na gaba
Samfurin Yankewa
Tambayoyin da ake yawan yi
What is Model Serialization Formats?
Serialization na samfuri shine yadda samfurin koyan injuna ke samun adanawa zuwa faifai don a loda shi kuma a gudanar da shi daga baya, akan na'ura daban ko cikin yare daban. Tsarin da kuka zaɓa yana rinjayar iya ɗauka, saurin gudu, girman fayil, har ma da tsaro.
Me yasa tsarin Pickle na Python yayi la'akari da haɗarin tsaro ga ƙira?
Unpickling na iya gudanar da lambar sabani, don haka loda fayil ɗin pickle mara amana na iya lalata tsarin ku.
Menene babban fa'idar tsarin ONNX?
ONNX shine tsarin musanya na tsaka-tsakin tsaka-tsaki, yana ba da damar iya ɗauka a duk lokacin aiki, harsuna, da kayan masarufi.
Me yasa safetensors suka zama sananne don raba ma'aunin ƙira?
Masu kiyayewa suna guje wa haɗarin aiwatar da code na pickles da lodi da sauri ta hanyar taswirar ƙwaƙwalwar ajiya, yana mai da shi lafiya da inganci.
GGUF ya fi alaƙa da wanne yanayin amfani?
GGUF shine tsarin gaskiya don rarrabawa da gudanar da kididdigar LLM a cikin gida da inganci.
Menene tsarin musaya kamar ONNX ke adanawa da farko?
ONNX yana ɗaukar jadawali na ƙididdige samfurin da sigogi a cikin daidaitaccen tsari don kowane lokaci mai dacewa zai iya aiwatar da shi.