File size: 1,229 Bytes
ba623db fb446b6 1b13a96 8504eda 6f8857d 8504eda 86f249f ca23b66 5ab7929 a5d77a4 76aa65b 63e4e17 2f6a316 dcec752 a93f8e6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
spacy-streamlit==1.0.6 spacy>3.4.4 scikit-bio==0.5.8 # pip==23.3.1 # setuptools # pydantic==1.* # altair<5 # streamlit # typing_extensions<4.6.0 # https://huggingface.co/egumasa/en_engagement_RoBERTa_combined/resolve/main/en_engagement_RoBERTa_combined-any-py3-none-any.whl # https://huggingface.co/egumasa/en_engagement_RoBERTa_context_flz/resolve/main/en_engagement_RoBERTa_context_flz-any-py3-none-any.whl # https://huggingface.co/egumasa/en_engagement_spl_RoBERTa_acad_max1_do02/resolve/main/en_engagement_spl_RoBERTa_acad_max1_do02-any-py3-none-any.whl # https://huggingface.co/egumasa/en_engagement_spl_RoBERTa_acad/resolve/main/en_engagement_spl_RoBERTa_acad-any-py3-none-any.whl # https://huggingface.co/egumasa/en_engagement_spl_RoBERTa_acad2/resolve/main/en_engagement_spl_RoBERTa_acad2-any-py3-none-any.whl # https://huggingface.co/egumasa/en_engagement_spl_RoBERTa_acad2/resolve/main/en_engagement_spl_RoBERTa_acad2-any-py3-none-any.whl # https://huggingface.co/egumasa/en_engagement_LSTM/resolve/main/en_engagement_LSTM-any-py3-none-any.whl #This is the best in 2023 https://huggingface.co/egumasa/en_engagement_spl_RoBERTa_base_attention/resolve/main/en_engagement_spl_RoBERTa_base_attention-any-py3-none-any.whl |