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sagawa
/
ReactionT5v1-forward

Transformers
PyTorch
English
t5
text2text-generation
chemistry
SMILES
product
text-generation-inference
Model card Files Files and versions
xet
Community
4

Instructions to use sagawa/ReactionT5v1-forward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sagawa/ReactionT5v1-forward with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("sagawa/ReactionT5v1-forward")
    model = AutoModelForSeq2SeqLM.from_pretrained("sagawa/ReactionT5v1-forward", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ReactionT5v1-forward
1.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
b719042 verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    4.1 kB
    Update README.md about 2 years ago
  • config.json
    761 Bytes
    Upload 7 files about 3 years ago
  • model.safetensors
    795 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    795 MB
    xet
    Upload 7 files about 3 years ago
  • special_tokens_map.json
    2.23 kB
    Upload 7 files about 3 years ago
  • tokenizer.json
    36.4 kB
    Upload 7 files about 3 years ago
  • tokenizer_config.json
    2.35 kB
    Upload 7 files about 3 years ago
  • trainer_state.json
    25.8 kB
    Upload 7 files about 3 years ago
  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.training_args_seq2seq.Seq2SeqTrainingArguments",
    • "torch.device",
    • "transformers.trainer_utils.HubStrategy"

    How to fix it?

    3.44 kB
    xet
    Upload 7 files about 3 years ago