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

atrytone
/
scibert_uncased_claim_id

Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use atrytone/scibert_uncased_claim_id with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="atrytone/scibert_uncased_claim_id")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("atrytone/scibert_uncased_claim_id")
    model = AutoModelForSequenceClassification.from_pretrained("atrytone/scibert_uncased_claim_id", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
scibert_uncased_claim_id / runs
13.6 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
atrytone's picture
atrytone
Training in progress, epoch 6
87c491d over 3 years ago
  • May18_05-42-57_586938afb21c
    Training in progress, epoch 6 over 3 years ago