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{ | |
"output_type": "stream", | |
"name": "stderr", | |
"text": [ | |
"/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n", | |
"The secret `HF_TOKEN` does not exist in your Colab secrets.\n", | |
"To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", | |
"You will be able to reuse this secret in all of your notebooks.\n", | |
"Please note that authentication is recommended but still optional to access public models or datasets.\n", | |
" warnings.warn(\n" | |
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}, | |
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}, | |
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} | |
], | |
"source": [ | |
"from transformers import pipeline\n", | |
"\n", | |
"sentiment_pipeline = pipeline(\"sentiment-analysis\",\n", | |
" model=\"distilbert/distilbert-base-uncased-finetuned-sst-2-english\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"from transformers import AutoTokenizer\n", | |
"\n", | |
"tokenizer = AutoTokenizer.from_pretrained(\"distilbert/distilbert-base-uncased-finetuned-sst-2-english\")" | |
], | |
"metadata": { | |
"id": "lso-veRdC-VM" | |
}, | |
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"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"data = [\"I love you.\", \"I hate you.\", \"I need you.\"]\n", | |
"sentiment_pipeline(data)" | |
], | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "3T8wpUORDD8f", | |
"outputId": "cea73027-72c4-4dfc-da7b-68e1faf73b35" | |
}, | |
"execution_count": 3, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": [ | |
"[{'label': 'POSITIVE', 'score': 0.9998705387115479},\n", | |
" {'label': 'NEGATIVE', 'score': 0.9992952346801758},\n", | |
" {'label': 'POSITIVE', 'score': 0.9975839853286743}]" | |
] | |
}, | |
"metadata": {}, | |
"execution_count": 3 | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"data = [\"I love you.\", \"[MASK] love you\", \"I [MASK] you\", \"I love [MASK]\"]\n", | |
"sentiment_pipeline(data)" | |
], | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "UhB9fElzDHmH", | |
"outputId": "c66bce64-01c5-4ee2-991c-eb0f98fea342" | |
}, | |
"execution_count": 4, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": [ | |
"[{'label': 'POSITIVE', 'score': 0.9998705387115479},\n", | |
" {'label': 'POSITIVE', 'score': 0.9998639822006226},\n", | |
" {'label': 'POSITIVE', 'score': 0.9993442893028259},\n", | |
" {'label': 'POSITIVE', 'score': 0.9998809099197388}]" | |
] | |
}, | |
"metadata": {}, | |
"execution_count": 4 | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [], | |
"metadata": { | |
"id": "AALEZN0jDMGe" | |
}, | |
"execution_count": null, | |
"outputs": [] | |
} | |
] | |
} |
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