1Uaslódáil do chomhad físe trí chliceáil air nó trí tharraingt air chuig an limistéar uaslódála
2Socraigh na hamanna tosaigh agus deiridh don deighleog is mian leat a choinneáil
3Cliceáil Bearr chun do fhíseán a phróiseáil
4Íoslódáil do chomhad físe gearrtha
Gearr Físeán Ceisteanna Coitianta
Conas físeán a bhearradh ar líne?
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Uaslódáil do fhíseán, socraigh na hamanna tosaithe agus deiridh don chuid is mian leat a choinneáil, agus cliceáil ar 'bearr'. Beidh do fhíseán bearrtha réidh le híoslódáil.
Cén formáidí físe is féidir liom a bhearradh?
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Tacaíonn ár n-uirlis bearrtha físe le gach mórfhormáid lena n-áirítear MP4, MOV, MKV, WebM, AVI, agus go leor eile.
An mbeidh tionchar ag bearradh ar cháilíocht físeáin?
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Ní hea, coinníonn ár n-uirlis bearrtha cáilíocht bhunaidh an fhíseáin agus baintear codanna nach dteastaíonn uait ag an am céanna.
An féidir liom roinnt codanna a bhearradh ó fhíseán amháin?
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Faoi láthair is féidir leat cuid amháin a bhearradh ag an am. Chun il-ghearrthacha a dhéanamh, bearr an físeán arís agus arís eile.
An bhfuil bearradh físeáin saor in aisce?
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Sea, tá ár n-uirlis bearrtha físe go hiomlán saor in aisce gan aon uiscemharcanna ná clárú ag teastáil.
An féidir liom físeáin iolracha a bhearradh ag an am céanna?
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Sea, is féidir leat comhaid físe iolracha a uaslódáil agus a bhearradh ag an am céanna. Is féidir le húsáideoirí saor in aisce suas le 2 chomhad a phróiseáil ag an am céanna, ach níl aon teorainneacha ag úsáideoirí Préimhe.
An oibríonn an gearrthóir físe ar ghléasanna soghluaiste?
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Sea, tá ár ngearrthóir físeáin lánfhreagrach agus oibríonn sé ar fhóin chliste agus táibléid. Is féidir leat físeáin a ghearradh ar iOS, Android, agus aon fheiste le brabhsálaí gréasáin nua-aimseartha.
Cé na brabhsálaithe a thacaíonn le bearradh físeáin?
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Oibríonn ár ngearrthóir físe le gach brabhsálaí nua-aimseartha lena n-áirítear Chrome, Firefox, Safari, Edge, agus Opera. Molaimid do bhrabhsálaí a choinneáil cothrom le dáta chun an taithí is fearr a fháil.
An gcoinnítear mo chuid comhad físe príobháideach?
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Sea, tá do fhíseáin go hiomlán príobháideach. Scriostar gach comhad uaslódáilte go huathoibríoch ónár bhfreastalaithe tar éis próiseála. Ní stórálaimid, ní roinnimid ná ní fhéachaimid ar ábhar do fhíseáin choíche.
Cad a tharlóidh mura n-íoslódálann mo fhíseán próiseáilte?
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Mura dtosaíonn d’íoslódáil go huathoibríoch, cliceáil an cnaipe íoslódála arís. Cinntigh nach gcuireann do bhrabhsálaí bac ar fhuinneoga aníos agus seiceáil d’fhillteán íoslódálacha.
An mbeidh tionchar ag bearradh ar cháilíocht físeáin?
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Déanaimid an caighdeán is fearr is féidir a bhaint amach. I gcás fhormhór na n-oibríochtaí, coimeádtar an caighdeán. Féadfaidh comhbhrú méid an chomhaid a laghdú le tionchar íosta ar cháilíocht bunaithe ar do shocruithe.
An gá dom cuntas a bheith agam chun físeáin a bhearradh?
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Níl aon chuntas ag teastáil le haghaidh bearradh bunúsach físeáin. Is féidir leat comhaid a phróiseáil láithreach gan clárú. Trí chuntas saor in aisce a chruthú, gheobhaidh tú rochtain ar do stair phróiseála agus ar ghnéithe breise.
[Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 246.00 MiB memory in use. Process 3358747 has 336.00 MiB memory in use. Process 3364221 has 336.00 MiB memory in use. Process 3373233 has 2.10 GiB memory in use. Process 3380506 has 2.10 GiB memory in use. Process 3437459 has 1.31 GiB memory in use. Process 3437461 has 1.17 GiB memory in use. Process 3437456 has 1.23 GiB memory in use. Process 3437458 has 1.29 GiB memory in use. Process 3437454 has 1.31 GiB memory in use. Process 3437463 has 1.20 GiB memory in use. Process 3437467 has 1.19 GiB memory in use. Process 3437453 has 322.00 MiB memory in use. Including non-PyTorch memory, this process has 9.53 GiB memory in use. Of the allocated memory 9.27 GiB is allocated by PyTorch, and 95.51 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]
✓ [Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 246.00 MiB memory in use. Process 3358747 has 336.00 MiB memory in use. Process 3364221 has 336.00 MiB memory in use. Process 3373233 has 2.10 GiB memory in use. Process 3380506 has 2.10 GiB memory in use. Process 3437459 has 1.31 GiB memory in use. Process 3437461 has 1.17 GiB memory in use. Process 3437456 has 1.23 GiB memory in use. Process 3437458 has 1.29 GiB memory in use. Process 3437454 has 1.31 GiB memory in use. Process 3437463 has 1.20 GiB memory in use. Process 3437467 has 1.19 GiB memory in use. Process 3437453 has 322.00 MiB memory in use. Including non-PyTorch memory, this process has 9.53 GiB memory in use. Of the allocated memory 9.28 GiB is allocated by PyTorch, and 87.41 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]
✓ Gan fógraí
✓ [Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 246.00 MiB memory in use. Process 3358747 has 336.00 MiB memory in use. Process 3364221 has 336.00 MiB memory in use. Process 3373233 has 2.10 GiB memory in use. Process 3380506 has 2.10 GiB memory in use. Process 3437459 has 1.31 GiB memory in use. Process 3437461 has 1.17 GiB memory in use. Process 3437456 has 1.23 GiB memory in use. Process 3437458 has 1.29 GiB memory in use. Process 3437454 has 1.31 GiB memory in use. Process 3437463 has 1.20 GiB memory in use. Process 3437467 has 1.19 GiB memory in use. Process 3437453 has 322.00 MiB memory in use. Including non-PyTorch memory, this process has 9.53 GiB memory in use. Of the allocated memory 9.29 GiB is allocated by PyTorch, and 72.43 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]