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Sakalti
/
hotalai

Feature Extraction
Transformers
PyTorch
JAX
Safetensors
Japanese
t5
text2text-generation
seq2seq
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Sakalti/hotalai with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Sakalti/hotalai")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Sakalti/hotalai")
    model = AutoModel.from_pretrained("Sakalti/hotalai")
  • Notebooks
  • Google Colab
  • Kaggle
hotalai
Ctrl+K
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  • 2 contributors
History: 11 commits
Sakalti's picture
Sakalti
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
8ab9a9e verified over 1 year ago
  • .gitattributes
    789 Bytes
    Adding `safetensors` variant of this model (#1) over 1 year ago
  • README.md
    151 Bytes
    Update README.md over 1 year ago
  • config.json
    709 Bytes
    Create config.json over 1 year ago
  • flax_model.msgpack
    892 MB
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    Upload 2 files over 1 year ago
  • model.safetensors
    892 MB
    xet
    Adding `safetensors` variant of this model (#1) over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Upload 2 files over 1 year ago
  • special_tokens_map.json
    1.79 kB
    Create special_tokens_map.json over 1 year ago
  • spiece.model
    804 kB
    xet
    Rename spiece (1).model to spiece.model over 1 year ago
  • tokenizer_config.json
    1.96 kB
    Create tokenizer_config.json over 1 year ago