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hsilvosa
/
feishengmt

Translation
Transformers
Safetensors
hunyuan_v1_dense
text-generation
chinese
english
web-novel
wuxia
xianxia
lora
hy-mt2
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use hsilvosa/feishengmt with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "translation" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # pip install "transformers<5.0.0"
    from transformers import pipeline
    
    pipe = pipeline("translation", model="hsilvosa/feishengmt")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("hsilvosa/feishengmt")
    model = AutoModelForCausalLM.from_pretrained("hsilvosa/feishengmt", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
feishengmt
3.67 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
hsilvosa's picture
hsilvosa
Upload model v1.0
ee21c21 verified 4 days ago
  • adapter
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  • pipeline
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  • .gitattributes
    1.52 kB
    initial commit 8 days ago
  • LICENSE
    11.4 kB
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  • NOTICE
    630 Bytes
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  • README.md
    8.31 kB
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  • SHA256SUMS
    1.93 kB
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  • chat_template.jinja
    654 Bytes
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  • config.json
    1.46 kB
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  • generation_config.json
    232 Bytes
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  • model.safetensors
    3.58 GB
    xet
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  • special_tokens_map.json
    488 Bytes
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  • tokenizer.json
    9.53 MB
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  • tokenizer_config.json
    166 kB
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