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Commit be02176a authored by Morgan Funtowicz's avatar Morgan Funtowicz
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Fixing sentiment pipeline in 03-pipelines notebook. 


Signed-off-by: default avatarMorgan Funtowicz <morgan@huggingface.co>
parent 8a2d9bc9
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notebooks/03-pipelines.ipynb
View file @ be02176a
......@@ -67,27 +67,16 @@
},
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{
"ename": "SyntaxError",
"evalue": "from __future__ imports must occur at the beginning of the file (<ipython-input-29-c3a037bd4c55>, line 5)",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-29-c3a037bd4c55>\"\u001b[0;36m, line \u001b[0;32m5\u001b[0m\n\u001b[0;31m from transformers import pipeline\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m from __future__ imports must occur at the beginning of the file\n"
]
}
],
"outputs": [],
"source": [
"import numpy as np\n",
"from __future__ import print_function\n",
"from ipywidgets import interact, interactive, fixed, interact_manual\n",
"import ipywidgets as widgets\n",
"from transformers import pipeline"
]
......@@ -105,7 +94,7 @@
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......@@ -115,40 +104,35 @@
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"[{'label': 'POSITIVE', 'score': 0.800251},\n",
" {'label': 'NEGATIVE', 'score': 1.2489903}]"
]
"text/plain": "[{'label': 'POSITIVE', 'score': 0.9997656}]"
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"nlp_sentence_classif = pipeline('sentiment-analysis')\n",
"nlp_sentence_classif(['Such a nice weather outside !', 'This movie was kind of boring.'])"
"nlp_sentence_classif('Such a nice weather outside !')"
]
},
{
......@@ -164,7 +148,7 @@
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......@@ -174,40 +158,30 @@
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"[{'word': 'Hu', 'score': 0.9970937967300415, 'entity': 'I-ORG'},\n",
" {'word': '##gging', 'score': 0.9345750212669373, 'entity': 'I-ORG'},\n",
" {'word': 'Face', 'score': 0.9787060022354126, 'entity': 'I-ORG'},\n",
" {'word': 'French', 'score': 0.9981995820999146, 'entity': 'I-MISC'},\n",
" {'word': 'New', 'score': 0.9983047246932983, 'entity': 'I-LOC'},\n",
" {'word': '-', 'score': 0.8913455009460449, 'entity': 'I-LOC'},\n",
" {'word': 'York', 'score': 0.9979523420333862, 'entity': 'I-LOC'}]"
]
"text/plain": "[{'word': 'Hu', 'score': 0.9970937967300415, 'entity': 'I-ORG'},\n {'word': '##gging', 'score': 0.9345750212669373, 'entity': 'I-ORG'},\n {'word': 'Face', 'score': 0.9787060022354126, 'entity': 'I-ORG'},\n {'word': 'French', 'score': 0.9981995820999146, 'entity': 'I-MISC'},\n {'word': 'New', 'score': 0.9983047246932983, 'entity': 'I-LOC'},\n {'word': '-', 'score': 0.8913455009460449, 'entity': 'I-LOC'},\n {'word': 'York', 'score': 0.9979523420333862, 'entity': 'I-LOC'}]"
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......@@ -224,7 +198,7 @@
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......@@ -234,42 +208,38 @@
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"text": [
"convert squad examples to features: 100%|██████████| 1/1 [00:00<00:00, 53.05it/s]\n",
"add example index and unique id: 100%|██████████| 1/1 [00:00<00:00, 2673.23it/s]\n"
]
"convert squad examples to features: 100%|██████████| 1/1 [00:00<00:00, 225.51it/s]\n",
"add example index and unique id: 100%|██████████| 1/1 [00:00<00:00, 2158.67it/s]\n"
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......@@ -286,7 +256,7 @@
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......@@ -296,48 +266,30 @@
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"[{'sequence': '<s> Hugging Face is a French company based in Paris</s>',\n",
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......@@ -354,7 +306,7 @@
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......@@ -364,34 +316,30 @@
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......@@ -417,7 +365,7 @@
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......@@ -427,41 +375,27 @@
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"[{'sequence': '<s> I\\'m from Paris.\"</s>', 'score': 0.224044069647789, 'token': 72}, {'sequence': \"<s> I'm from Paris.)</s>\", 'score': 0.16959427297115326, 'token': 1592}, {'sequence': \"<s> I'm from Paris.]</s>\", 'score': 0.10994981974363327, 'token': 21838}, {'sequence': '<s> I\\'m from Paris!\"</s>', 'score': 0.0706234946846962, 'token': 2901}, {'sequence': \"<s> I'm from Paris.</s>\", 'score': 0.0698278620839119, 'token': 4}]\n",
"[{'sequence': \"<s> I'm from Paris and London</s>\", 'score': 0.12238534539937973, 'token': 928}, {'sequence': \"<s> I'm from Paris and Brussels</s>\", 'score': 0.07107886672019958, 'token': 6497}, {'sequence': \"<s> I'm from Paris and Belgium</s>\", 'score': 0.040912602096796036, 'token': 7320}, {'sequence': \"<s> I'm from Paris and Berlin</s>\", 'score': 0.039884064346551895, 'token': 5459}, {'sequence': \"<s> I'm from Paris and Melbourne</s>\", 'score': 0.038133684545755386, 'token': 5703}]\n",
"[{'sequence': '<s> I like go to sleep</s>', 'score': 0.08942786604166031, 'token': 3581}, {'sequence': '<s> I like go to bed</s>', 'score': 0.07789064943790436, 'token': 3267}, {'sequence': '<s> I like go to concerts</s>', 'score': 0.06356740742921829, 'token': 12858}, {'sequence': '<s> I like go to school</s>', 'score': 0.03660670667886734, 'token': 334}, {'sequence': '<s> I like go to dinner</s>', 'score': 0.032155368477106094, 'token': 3630}]\n"
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......@@ -498,7 +432,7 @@
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......@@ -508,46 +442,15 @@
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"convert squad examples to features: 100%|██████████| 1/1 [00:00<00:00, 168.83it/s]\n",
"add example index and unique id: 100%|██████████| 1/1 [00:00<00:00, 1919.59it/s]\n"
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......
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