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uhhlt
/
am-roberta

Fill-Mask
Transformers
PyTorch
Safetensors
Amharic
roberta
Amharic
Semetic language
Model card Files Files and versions
xet
Community
1

Instructions to use uhhlt/am-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use uhhlt/am-roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="uhhlt/am-roberta")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("uhhlt/am-roberta")
    model = AutoModelForMaskedLM.from_pretrained("uhhlt/am-roberta", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
am-roberta
3.58 GB
Ctrl+K
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  • 3 contributors
History: 22 commits
seyyaw's picture
seyyaw
Update README.md
4cbcbc7 about 3 years ago
  • .gitattributes
    1.36 kB
    Adding `safetensors` variant of this model (#1) over 3 years ago
  • README.md
    2.15 kB
    Update README.md about 3 years ago
  • config.json
    617 Bytes
    Create config.json almost 5 years ago
  • merges.txt
    15.4 MB
    xet
    First model version almost 5 years ago
  • model.safetensors
    1.77 GB
    xet
    Adding `safetensors` variant of this model (#1) over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.77 GB
    xet
    First model version almost 5 years ago
  • training_args.bin

    Detected Pickle imports (4)

    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.SchedulerType",
    • "torch.device"

    How to fix it?

    2.29 kB
    xet
    First model version almost 5 years ago
  • vocab.json
    19.5 MB
    xet
    First model version almost 5 years ago