Amar Enkhbat amar-enkhbat
amar-enkhbat
/ laboro-ai-qa-bert.py
Created
June 11, 2021 05:19
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| from transformers import DistilBertModel | |
| from transformers import AlbertTokenizer | |
| from transformers import DistilBertForQuestionAnswering | |
| import torch | |
| # Load model | |
| pt_model = DistilBertModel.from_pretrained('laboro-ai/distilbert-base-japanese') | |
| sp_tokenizer = AlbertTokenizer.from_pretrained('laboro-ai/distilbert-base-japanese') | |
| model = DistilBertForQuestionAnswering.from_pretrained('laboro-ai/distilbert-base-japanese-finetuned-ddqa') |
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| import numpy as np | |
| def calc_H_and_L(result): | |
| log_side = np.log2(1./result) | |
| ceil_log_side = np.ceil(log_side) | |
| H = np.sum(result * log_side) | |
| L = np.sum(result * ceil_log_side) | |
| return H, L, ceil_log_side | |
| probs = np.array([1/3, 1/4, 5/12]) |
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| import numpy as np | |
| probs = np.array([0.3, 0.2, 0.15, 0.15, 0.1, 0.1]) | |
| result = np.array([]) | |
| for prob in probs: | |
| result = np.append(result, probs * prob) | |
| print(result) |
amar-enkhbat
/ eeg_spectrogram.ipynb
Created
April 26, 2019 08:48
— forked from afiedler/eeg_spectrogram.ipynb
EEG Spectrogram
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