TransformersDiffusersNDatasets / backup2.requirements.txt
awacke1's picture
Rename requirements.txt to backup2.requirements.txt
4ae2b03 verified
streamlit
# 🌟 - Build interactive apps. Ex: st.write("Hello, AI!") β†’ Displays text | Web magic unleashed! ✨
# πŸ“ˆ - Visualize data easily. Ex: st.line_chart({"data": [1, 2, 3]}) β†’ Plots line | Graphs in a snap! πŸ“Š
# πŸ–ΌοΈ - Show Mermaid graphs. Ex: st.mermaid("graph TD A-->B") β†’ Renders diagram | Visualize like a pro! 🧩
transformers
# πŸ€– - Generate text fast. Ex: pipeline("text-generation")("Tell me a story") β†’ Story string | Tales on demand! πŸ“–
# 😊 - Analyze sentiment. Ex: pipeline("sentiment-analysis")("I love AI") β†’ Positive dict | Feelings decoded! πŸ’–
# 🧠 - Load smart models. Ex: AutoModel.from_pretrained("bert-base-uncased") β†’ BERT model | NLP power boost! ⚑
torch
# πŸ”₯ - Crunch numbers. Ex: torch.tensor([1.0, 2.0]) β†’ Tensor([1., 2.]) | Math made fiery! πŸ”’
# πŸ› οΈ - Build neural nets. Ex: torch.nn.Linear(10, 5) β†’ Linear layer | Deep learning bricks! πŸ—οΈ
# πŸš€ - Train models. Ex: torch.optim.Adam(model.parameters(), lr=0.001) β†’ Optimizer | Learning takes flight! πŸƒ
pandas
# πŸ“Š - Load data frames. Ex: pd.read_csv("data.csv") β†’ DataFrame | Data wrangling begins! 🐼
# πŸ” - Filter rows. Ex: df[df["age"] > 30] β†’ Filtered DataFrame | Search with ease! πŸ•΅οΈ
# πŸ“‰ - Plot insights. Ex: df.plot(kind="bar", x="name") β†’ Bar chart | Visualize trends! πŸ“ˆ