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HYdsl
/
FiLM

Fill-Mask
Transformers
PyTorch
English
roberta
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use HYdsl/FiLM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="HYdsl/FiLM")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("HYdsl/FiLM")
    model = AutoModelForMaskedLM.from_pretrained("HYdsl/FiLM", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
FiLM
2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
0fb0a10 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.94 kB
    Update README.md almost 2 years ago
  • config.json
    672 Bytes
    FiLM_2.4B model upload almost 3 years ago
  • dict.txt
    603 kB
    vocab.txt upload over 2 years ago
  • merges.txt
    456 kB
    vocab.txt upload over 2 years ago
  • model.safetensors
    499 MB
    xet
    Adding `safetensors` variant of this model almost 2 years ago
  • optimizer.pt
    998 MB
    xet
    FiLM_2.4B model upload almost 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    FiLM_2.4B model upload almost 3 years ago
  • rng_state.pth
    14.5 kB
    xet
    FiLM_2.4B model upload almost 3 years ago
  • scheduler.pt
    623 Bytes
    xet
    FiLM_2.4B model upload almost 3 years ago
  • tokenizer.json
    1.36 MB
    vocab.txt upload over 2 years ago
  • trainer_state.json
    94.6 kB
    FiLM_2.4B model upload almost 3 years ago
  • training_args.bin
    3.38 kB
    xet
    FiLM_2.4B model upload almost 3 years ago
  • vocab.json
    899 kB
    vocab.txt upload over 2 years ago