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orendar
/
en_he_base

Transformers
PyTorch
Safetensors
marian
text2text-generation
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use orendar/en_he_base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("orendar/en_he_base")
    model = AutoModelForSeq2SeqLM.from_pretrained("orendar/en_he_base")
  • Notebooks
  • Google Colab
  • Kaggle
en_he_base
489 MB
Ctrl+K
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  • 2 contributors
History: 12 commits
orendar's picture
orendar
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
483f565 over 2 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • config.json
    1.46 kB
    add model about 4 years ago
  • model.safetensors
    242 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    242 MB
    xet
    add model about 4 years ago
  • source.spm
    844 kB
    add tokenizer about 4 years ago
  • special_tokens_map.json
    89 Bytes
    add tokenizer about 4 years ago
  • target.spm
    844 kB
    add tokenizer about 4 years ago
  • tokenizer_config.json
    1.49 MB
    add tokenizer about 4 years ago
  • vocab.json
    1.13 MB
    add tokenizer about 4 years ago