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

franfj
/
DIPROMATS_subtask_1_base_train

Text Classification
Transformers
PyTorch
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use franfj/DIPROMATS_subtask_1_base_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use franfj/DIPROMATS_subtask_1_base_train with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="franfj/DIPROMATS_subtask_1_base_train")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("franfj/DIPROMATS_subtask_1_base_train")
    model = AutoModelForSequenceClassification.from_pretrained("franfj/DIPROMATS_subtask_1_base_train")
  • Notebooks
  • Google Colab
  • Kaggle
DIPROMATS_subtask_1_base_train
1.48 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
franfj's picture
franfj
initial commit
e092d8b about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago