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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

open-usami
/
albert-base-v2-csi5386-a2

Text Classification
Transformers
Safetensors
albert
Model card Files Files and versions
xet
Community

Instructions to use open-usami/albert-base-v2-csi5386-a2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use open-usami/albert-base-v2-csi5386-a2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="open-usami/albert-base-v2-csi5386-a2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("open-usami/albert-base-v2-csi5386-a2")
    model = AutoModelForSequenceClassification.from_pretrained("open-usami/albert-base-v2-csi5386-a2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    33 Bytes
    initial commit over 2 years ago
  • config.json
    1.03 kB
    feat: add pre-trained transformer model. over 2 years ago
  • model.safetensors
    46.7 MB
    xet
    feat: add pre-trained transformer model. over 2 years ago
  • special_tokens_map.json
    970 Bytes
    feat: add pre-trained transformer tokenizer. over 2 years ago
  • spiece.model
    760 kB
    xet
    feat: add pre-trained transformer tokenizer. over 2 years ago
  • tokenizer.json
    2.27 MB
    feat: add pre-trained transformer tokenizer. over 2 years ago
  • tokenizer_config.json
    1.41 kB
    feat: add pre-trained transformer tokenizer. over 2 years ago