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

  • Log In
  • Sign Up

amir7d0
/
clip-text-fa

Feature Extraction
Transformers
PyTorch
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use amir7d0/clip-text-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amir7d0/clip-text-fa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="amir7d0/clip-text-fa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("amir7d0/clip-text-fa")
    model = AutoModel.from_pretrained("amir7d0/clip-text-fa")
  • Notebooks
  • Google Colab
  • Kaggle
clip-text-fa
478 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
amir7d0's picture
amir7d0
Upload tokenizer
f4829b0 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    702 Bytes
    Upload model over 3 years ago
  • merges.txt
    875 kB
    Upload tokenizer over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    473 MB
    xet
    Upload model over 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    2.75 MB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    381 Bytes
    Upload tokenizer over 3 years ago
  • vocab.json
    1.16 MB
    Upload tokenizer over 3 years ago