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

phdatdt
/
my_awesome_model

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use phdatdt/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use phdatdt/my_awesome_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="phdatdt/my_awesome_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("phdatdt/my_awesome_model")
    model = AutoModelForSequenceClassification.from_pretrained("phdatdt/my_awesome_model")
  • Notebooks
  • Google Colab
  • Kaggle
my_awesome_model / runs
29.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 27 commits
phdatdt's picture
phdatdt
Training in progress, epoch 24
ba4065e verified about 2 years ago
  • Mar13_20-20-44_db2930229ca5
    phdatdt/BeamGroup_return_to_work about 2 years ago
  • Mar13_20-22-36_db2930229ca5
    Training in progress, epoch 25 about 2 years ago
  • Mar13_20-32-57_9e75244b47f8
    Training in progress, epoch 24 about 2 years ago