Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

erickdp
/
sentiment-mrbert-v2

Text Classification
Transformers
Safetensors
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use erickdp/sentiment-mrbert-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use erickdp/sentiment-mrbert-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="erickdp/sentiment-mrbert-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("erickdp/sentiment-mrbert-v2")
    model = AutoModelForSequenceClassification.from_pretrained("erickdp/sentiment-mrbert-v2")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-mrbert-v2
2.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
erickdp's picture
erickdp
Upload tokenizer
288fa1e verified 15 days ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 15 days ago
  • README.md
    5.17 kB
    Upload XLMRobertaForSequenceClassification 15 days ago
  • config.json
    970 Bytes
    Upload XLMRobertaForSequenceClassification 15 days ago
  • model.safetensors
    2.24 GB
    xet
    Upload XLMRobertaForSequenceClassification 15 days ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer 15 days ago
  • tokenizer_config.json
    383 Bytes
    Upload tokenizer 15 days ago