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67 lines
2.1 KiB
YAML
67 lines
2.1 KiB
YAML
- sections:
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- local: index
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title: 🤗 Transformers
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- local: quicktour
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title: Tour rapido
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- local: installation
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title: Installazione
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title: Iniziare
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- sections:
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- local: pipeline_tutorial
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title: Pipeline per l'inferenza
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- local: autoclass_tutorial
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title: Carica istanze pre-allenate con AutoClass
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- local: preprocessing
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title: Preprocess
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- local: training
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title: Fine-tuning di un modello pre-addestrato
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- local: accelerate
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title: Allenamento distribuito con 🤗 Accelerate
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- local: model_sharing
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title: Condividere un modello
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title: Esercitazione
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- sections:
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- local: create_a_model
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title: Crea un'architettura personalizzata
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- local: custom_models
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title: Condividere modelli personalizzati
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- local: run_scripts
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title: Addestramento con script
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- local: multilingual
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title: Modelli multilingua per l'inferenza
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- local: perf_train_cpu
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title: Addestramento efficiente su CPU
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- local: perf_train_cpu_many
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title: Addestramento efficiente su multiple CPU
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- local: perf_train_tpu
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title: Addestramento su TPU
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- local: perf_train_special
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title: Addestramento su Hardware Specializzato
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- local: perf_infer_cpu
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title: Inferenza Efficiente su CPU
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- local: perf_infer_gpu_one
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title: Inferenza su una GPU
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- local: perf_infer_gpu_many
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title: Inferenza Efficiente su GPU Multiple
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- local: perf_infer_special
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title: Inferenza su Hardware Specializzato
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- local: big_models
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title: Istanziare un big model
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- local: migration
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title: Passaggio da pacchetti precedenti
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- local: debugging
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title: Debugging
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title: Guide pratiche
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- sections:
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- local: add_new_pipeline
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title: Come aggiungere una pipeline a 🤗 Transformers?
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- local: add_new_model
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title: Come aggiungere un modello a 🤗 Transformers?
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- local: perf_hardware
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title: Hardware ottimizzato per l'addestramento
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- local: community
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title: Risorse della comunità
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- local: pr_checks
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title: Controlli su una Pull Request
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title: Guide How-to
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