You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
با سلام و احترام و عرض ادب
بنده مدل شما را روی یک پروژه گیت هاب https://github.com/MaartenGr/KeyBERT#toc استفاده کردم. در این پروژه کلمات کلیدی متن استخراج می شود. مدل شما را در کد زیر استفاده کردم
kw_model = KeyBERT('HooshvareLab/bert-base-parsbert-peymaner-uncased')
اما با خطاهای زیر مواجه شدم. آیا مدل شما sentence-transformers دارد؟
No sentence-transformers model found with name /root/.cache/torch/sentence_transformers/HooshvareLab_bert-base-parsbert-peymaner-uncased. Creating a new one with MEAN pooling.
Some weights of the model checkpoint at /root/.cache/torch/sentence_transformers/HooshvareLab_bert-base-parsbert-peymaner-uncased were not used when initializing BertModel: ['classifier.bias', 'classifier.weight']
This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
/usr/local/lib/python3.7/dist-packages/sklearn/feature_extraction/text.py:401: UserWarning: Your stop_words may be inconsistent with your preprocessing.
The text was updated successfully, but these errors were encountered:
با سلام و احترام و عرض ادب
بنده مدل شما را روی یک پروژه گیت هاب https://github.com/MaartenGr/KeyBERT#toc استفاده کردم. در این پروژه کلمات کلیدی متن استخراج می شود. مدل شما را در کد زیر استفاده کردم
kw_model = KeyBERT('HooshvareLab/bert-base-parsbert-peymaner-uncased')
اما با خطاهای زیر مواجه شدم. آیا مدل شما sentence-transformers دارد؟
No sentence-transformers model found with name /root/.cache/torch/sentence_transformers/HooshvareLab_bert-base-parsbert-peymaner-uncased. Creating a new one with MEAN pooling.
Some weights of the model checkpoint at /root/.cache/torch/sentence_transformers/HooshvareLab_bert-base-parsbert-peymaner-uncased were not used when initializing BertModel: ['classifier.bias', 'classifier.weight']
/usr/local/lib/python3.7/dist-packages/sklearn/feature_extraction/text.py:401: UserWarning: Your stop_words may be inconsistent with your preprocessing.
The text was updated successfully, but these errors were encountered: