Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

bimamuhammad
/
sentiment-analysis

Text Classification
Transformers
TensorBoard
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use bimamuhammad/sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bimamuhammad/sentiment-analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="bimamuhammad/sentiment-analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("bimamuhammad/sentiment-analysis")
    model = AutoModelForSequenceClassification.from_pretrained("bimamuhammad/sentiment-analysis")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-analysis / runs
24.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 91 commits
bimamuhammad's picture
bimamuhammad
Training in progress, step 20500
b3e3fbf verified over 2 years ago
  • Dec01_09-12-40_bc67f863550b
    Training in progress, step 25000 over 2 years ago
  • Feb02_02-39-02_c851575285db
    Training in progress, step 20500 over 2 years ago