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File size: 3,587 Bytes
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from transformers import pipeline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"No model was supplied, defaulted to distilbert-base-uncased-finetuned-sst-2-english (https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english)\n"
]
},
{
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"version_major": 2,
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},
"text/plain": [
"Downloading: 0%| | 0.00/629 [00:00<?, ?B/s]"
]
},
"metadata": {},
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{
"data": {
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"metadata": {},
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{
"name": "stderr",
"output_type": "stream",
"text": [
"All model checkpoint layers were used when initializing TFDistilBertForSequenceClassification.\n",
"\n",
"All the layers of TFDistilBertForSequenceClassification were initialized from the model checkpoint at distilbert-base-uncased-finetuned-sst-2-english.\n",
"If your task is similar to the task the model of the checkpoint was trained on, you can already use TFDistilBertForSequenceClassification for predictions without further training.\n"
]
},
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"model_id": "bfb51231c3ee4b6a9ab5811331baf689",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading: 0%| | 0.00/48.0 [00:00<?, ?B/s]"
]
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"metadata": {},
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{
"data": {
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"model_id": "50e43a0ab3154a16ad623cad2c8637d6",
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"text/plain": [
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"metadata": {},
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},
{
"data": {
"text/plain": [
"[{'label': 'POSITIVE', 'score': 0.9997795224189758}]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"classifier = pipeline(\"sentiment-analysis\")\n",
"classifier(\"We are very happy to show you the 🤗 Transformers library.\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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