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| <!--116gsbn--><meta name="hf:doc:metadata" content="{"title":"Quiz de final de capítulo","local":"quiz-de-final-de-capítulo","sections":[{"title":"1. ¿Cuál es el orden del pipeline de modelado del lenguaje?","local":"1-cuál-es-el-orden-del-pipeline-de-modelado-del-lenguaje","sections":[],"depth":3},{"title":"2. ¿Cuántas dimensiones tiene el tensor producido por el modelo base de Transformer y cuáles son?","local":"2-cuántas-dimensiones-tiene-el-tensor-producido-por-el-modelo-base-de-transformer-y-cuáles-son","sections":[],"depth":3},{"title":"3. ¿Cuál de los siguientes es un ejemplo de tokenización de subpalabras?","local":"3-cuál-de-los-siguientes-es-un-ejemplo-de-tokenización-de-subpalabras","sections":[],"depth":3},{"title":"4. ¿Qué es una cabeza del modelo?","local":"4-qué-es-una-cabeza-del-modelo","sections":[],"depth":3},{"title":"5. ¿Qué es un AutoModel?","local":"5-qué-es-un-automodel","sections":[],"depth":3},{"title":"5. ¿Qué es un TFAutoModel?","local":"5-qué-es-un-tfautomodel","sections":[],"depth":3},{"title":"6. ¿Cuáles son las técnicas a tener en cuenta al realizar batching de secuencias de diferentes longitudes juntas?","local":"6-cuáles-son-las-técnicas-a-tener-en-cuenta-al-realizar-batching-de-secuencias-de-diferentes-longitudes-juntas","sections":[],"depth":3},{"title":"7. ¿Cuál es el punto de aplicar una función SoftMax a las salidas logits por un modelo de clasificación de secuencias?","local":"7-cuál-es-el-punto-de-aplicar-una-función-softmax-a-las-salidas-logits-por-un-modelo-de-clasificación-de-secuencias","sections":[],"depth":3},{"title":"8. ¿En qué método se centra la mayor parte de la API del tokenizador?","local":"8-en-qué-método-se-centra-la-mayor-parte-de-la-api-del-tokenizador","sections":[],"depth":3},{"title":"9. ¿Qué contiene la variable result en este código de ejemplo?","local":"9-qué-contiene-la-variable-result-en-este-código-de-ejemplo","sections":[],"depth":3},{"title":"10. ¿Hay algo mal con el siguiente código?","local":"10-hay-algo-mal-con-el-siguiente-código","sections":[],"depth":3},{"title":"10. ¿Hay algo mal con el siguiente código?","local":"10-hay-algo-mal-con-el-siguiente-código","sections":[],"depth":3}],"depth":1}"/><!----> | |
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<!--[-1--><!--]--> <!--[-1--><!--]--></div><!----> <!--[2--><h3 class="relative group"><a id="1-cuál-es-el-orden-del-pipeline-de-modelado-del-lenguaje" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#1-cuál-es-el-orden-del-pipeline-de-modelado-del-lenguaje"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>1. ¿Cuál es el orden del pipeline de modelado del lenguaje?</span></h3><!--]--><!----> <div><form><!--[--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="0"/> <!---->Primero, el modelo que maneja el texto y devuelve las peticiones sin procesar. El tokenizador luego da sentido a estas predicciones y las convierte nuevamente en texto cuando es necesario.<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="1"/> <!---->Primero, el tokenizador, que maneja el texto y regresa IDs. El modelo maneja estos IDs y produce una predicción, la cual puede ser algún texto.<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="2"/> <!---->El tokenizador maneja texto y regresa IDs. El modelo maneja estos IDs y produce una predicción. El tokenizador puede luego ser usado de nuevo para convertir estas predicciones de vuelta a texto.<!----></label> <!--[-1--><!--]--><!--]--> <div class="flex flex-row items-center mt-3"><button class="btn px-4 mr-4" type="submit" disabled="">Submit</button> <!--[-1--><!--]--></div></form></div><!----> <!--[2--><h3 class="relative group"><a id="2-cuántas-dimensiones-tiene-el-tensor-producido-por-el-modelo-base-de-transformer-y-cuáles-son" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#2-cuántas-dimensiones-tiene-el-tensor-producido-por-el-modelo-base-de-transformer-y-cuáles-son"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>2. ¿Cuántas dimensiones tiene el tensor producido por el modelo base de Transformer y cuáles son?</span></h3><!--]--><!----> <div><form><!--[--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="0"/> <!---->1: La longitud de secuencia y el tamaño del lote<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="1"/> <!---->2: La longitud de secuencia y el tamaño oculto<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="2"/> <!---->3: La longitud de secuencia, el tamaño de lote y el tamaño oculto<!----></label> <!--[-1--><!--]--><!--]--> <div class="flex flex-row items-center mt-3"><button class="btn px-4 mr-4" type="submit" disabled="">Submit</button> <!--[-1--><!--]--></div></form></div><!----> <!--[2--><h3 class="relative group"><a id="3-cuál-de-los-siguientes-es-un-ejemplo-de-tokenización-de-subpalabras" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#3-cuál-de-los-siguientes-es-un-ejemplo-de-tokenización-de-subpalabras"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>3. ¿Cuál de los siguientes es un ejemplo de tokenización de subpalabras?</span></h3><!--]--><!----> <div><form><!--[--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="0"/> <!---->WordPiece<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="1"/> <!---->Tokenización basada en caracteres<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="2"/> <!---->División por espacios en blanco y puntuación<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="3"/> <!---->BPE<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="4"/> <!---->Unigrama<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="5"/> <!---->Ninguno de los anteriores<!----></label> <!--[-1--><!--]--><!--]--> <div class="flex flex-row items-center mt-3"><button class="btn px-4 mr-4" type="submit" disabled="">Submit</button> <!--[-1--><!--]--></div></form></div><!----> <!--[2--><h3 class="relative group"><a id="4-qué-es-una-cabeza-del-modelo" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#4-qué-es-una-cabeza-del-modelo"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>4. ¿Qué es una cabeza del modelo?</span></h3><!--]--><!----> <div><form><!--[--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="0"/> <!---->Un componente de la red de Transformer base que redirecciona los tensores a sus capas correctas<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="1"/> <!---->También conocido como el mecanismo de autoatención, adapta la representación de un token de acuerdo a los otros tokens de la secuencia<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="2"/> <!---->Un componente adicional, compuesto usualmente de una o unas pocas capas, para convertir las predicciones del Transformer a una salida específica de la tarea<!----></label> <!--[-1--><!--]--><!--]--> <div class="flex flex-row items-center mt-3"><button class="btn px-4 mr-4" type="submit" disabled="">Submit</button> <!--[-1--><!--]--></div></form></div><!----> <!--[0--><!--[2--><h3 class="relative group"><a id="5-qué-es-un-automodel" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#5-qué-es-un-automodel"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>5. ¿Qué es un AutoModel?</span></h3><!--]--><!----> <div><form><!--[--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="0"/> <!---->Un modelo que entrena automáticamente en tus datos<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="1"/> <!---->Un objeto que devuelve la arquitectura correcta basado en el punto de control<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="2"/> <!---->Un modelo que detecta automáticamente el lenguaje usado por sus entradas para cargar los pesos correctos<!----></label> <!--[-1--><!--]--><!--]--> <div class="flex flex-row items-center mt-3"><button class="btn px-4 mr-4" type="submit" disabled="">Submit</button> <!--[-1--><!--]--></div></form></div><!----><!--]--> <!--[2--><h3 class="relative group"><a id="6-cuáles-son-las-técnicas-a-tener-en-cuenta-al-realizar-batching-de-secuencias-de-diferentes-longitudes-juntas" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#6-cuáles-son-las-técnicas-a-tener-en-cuenta-al-realizar-batching-de-secuencias-de-diferentes-longitudes-juntas"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>6. ¿Cuáles son las técnicas a tener en cuenta al realizar batching de secuencias de diferentes longitudes juntas?</span></h3><!--]--><!----> <div><form><!--[--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="0"/> <!---->Truncado<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="1"/> <!---->Returning tensors<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="2"/> <!---->Relleno<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="3"/> <!---->Enmascarado de atención<!----></label> <!--[-1--><!--]--><!--]--> <div class="flex flex-row items-center mt-3"><button class="btn px-4 mr-4" type="submit" disabled="">Submit</button> <!--[-1--><!--]--></div></form></div><!----> <!--[2--><h3 class="relative group"><a id="7-cuál-es-el-punto-de-aplicar-una-función-softmax-a-las-salidas-logits-por-un-modelo-de-clasificación-de-secuencias" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#7-cuál-es-el-punto-de-aplicar-una-función-softmax-a-las-salidas-logits-por-un-modelo-de-clasificación-de-secuencias"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>7. ¿Cuál es el punto de aplicar una función SoftMax a las salidas logits por un modelo de clasificación de secuencias?</span></h3><!--]--><!----> <div><form><!--[--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="0"/> <!---->Suaviza los logits para que sean más fiables.<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="1"/> <!---->Aplica un límite inferior y superior de modo que sean comprensibles.<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="2"/> <!---->La suma total de la salida es entonces 1, dando como resultado una posible interpretación probabilística.<!----></label> <!--[-1--><!--]--><!--]--> <div class="flex flex-row items-center mt-3"><button class="btn px-4 mr-4" type="submit" disabled="">Submit</button> <!--[-1--><!--]--></div></form></div><!----> <!--[2--><h3 class="relative group"><a id="8-en-qué-método-se-centra-la-mayor-parte-de-la-api-del-tokenizador" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#8-en-qué-método-se-centra-la-mayor-parte-de-la-api-del-tokenizador"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>8. ¿En qué método se centra la mayor parte de la API del tokenizador?</span></h3><!--]--><!----> <div><form><!--[--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="0"/> <!----><code>encode</code>, ya que puede codificar texto en IDs e IDs en predicciones<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="1"/> <!---->Llamar al objeto tokenizador directamente.<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="2"/> <!----><code>pad</code><!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="3"/> <!----><code>tokenize</code><!----></label> <!--[-1--><!--]--><!--]--> <div class="flex flex-row items-center mt-3"><button class="btn px-4 mr-4" type="submit" disabled="">Submit</button> <!--[-1--><!--]--></div></form></div><!----> <!--[2--><h3 class="relative group"><a id="9-qué-contiene-la-variable-result-en-este-código-de-ejemplo" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#9-qué-contiene-la-variable-result-en-este-código-de-ejemplo"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>9. ¿Qué contiene la variable result en este código de ejemplo?</span></h3><!--]--><!----> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg><!----> <div class=" absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0 "><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent;"></div> Copied</div><!----></button><!----></div> <pre class="language-py "><!----><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> AutoTokenizer | |
| tokenizer = AutoTokenizer.from_pretrained(<span class="hljs-string">"bert-base-cased"</span>) | |
| result = tokenizer.tokenize(<span class="hljs-string">"Hello!"</span>)<!----></pre></div><!----> <div><form><!--[--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="0"/> <!---->Una lista de strings, cada string es un token<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="1"/> <!---->Una lista de IDs<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="2"/> <!---->Una cadena que contiene todos los tokens<!----></label> <!--[-1--><!--]--><!--]--> <div class="flex flex-row items-center mt-3"><button class="btn px-4 mr-4" type="submit" disabled="">Submit</button> <!--[-1--><!--]--></div></form></div><!----> <!--[0--><!--[2--><h3 class="relative group"><a id="10-hay-algo-mal-con-el-siguiente-código" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#10-hay-algo-mal-con-el-siguiente-código"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span>10. ¿Hay algo mal con el siguiente código?</span></h3><!--]--><!----> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg><!----> <div class=" absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0 "><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent;"></div> Copied</div><!----></button><!----></div> <pre class="language-py "><!----><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> AutoTokenizer, AutoModel | |
| tokenizer = AutoTokenizer.from_pretrained(<span class="hljs-string">"bert-base-cased"</span>) | |
| model = AutoModel.from_pretrained(<span class="hljs-string">"gpt2"</span>) | |
| encoded = tokenizer(<span class="hljs-string">"Hey!"</span>, return_tensors=<span class="hljs-string">"pt"</span>) | |
| result = model(**encoded)<!----></pre></div><!----> <div><form><!--[--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="0"/> <!---->No, parece correcto.<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="1"/> <!---->El tokenizador y el modelo siempre deben ser del mismo punto de control.<!----></label> <!--[-1--><!--]--><label class="block"><input autocomplete="off" class="form-input -mt-1.5 mr-2" name="choice" type="checkbox" value="2"/> <!---->Es una buena práctica rellenar y truncar con el tokenizador ya que cada entrada es un lote.<!----></label> <!--[-1--><!--]--><!--]--> <div class="flex flex-row items-center mt-3"><button class="btn px-4 mr-4" type="submit" disabled="">Submit</button> <!--[-1--><!--]--></div></form></div><!----><!--]--> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/course/blob/main/chapters/es/chapter2/8.mdx" target="_blank"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M31,16l-7,7l-1.41-1.41L28.17,16l-5.58-5.59L24,9l7,7z"></path><path d="M1,16l7-7l1.41,1.41L3.83,16l5.58,5.59L8,23l-7-7z"></path><path d="M12.419,25.484L17.639,6.552l1.932,0.518L14.351,26.002z"></path></svg><!----> <span><span class="underline">Update</span> on GitHub</span></a><!----> <p></p><!--]--><!----><!--]--><!--]--><!--]--> <!--[-1--><!--]--><!--]--> | |
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