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

rasmodev
/
Covid-19_Sentiment_Analysis_BERT_Model

Text Classification
Transformers
PyTorch
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
3

Instructions to use rasmodev/Covid-19_Sentiment_Analysis_BERT_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rasmodev/Covid-19_Sentiment_Analysis_BERT_Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rasmodev/Covid-19_Sentiment_Analysis_BERT_Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rasmodev/Covid-19_Sentiment_Analysis_BERT_Model")
    model = AutoModelForSequenceClassification.from_pretrained("rasmodev/Covid-19_Sentiment_Analysis_BERT_Model")
  • Notebooks
  • Google Colab
  • Kaggle
Covid-19_Sentiment_Analysis_BERT_Model
885 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
rasmodev's picture
rasmodev
Upload tokenizer
40d1ce2 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    334 Bytes
    Upload tokenizer over 2 years ago
  • vocab.txt
    213 kB
    Upload tokenizer over 2 years ago