Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

tencent
/
HY-MT1.5-1.8B-FP8

Translation
Transformers
Safetensors
hunyuan_v1_dense
text-generation
compressed-tensors
Model card Files Files and versions
xet
Community
2

Instructions to use tencent/HY-MT1.5-1.8B-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tencent/HY-MT1.5-1.8B-FP8 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="tencent/HY-MT1.5-1.8B-FP8")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("tencent/HY-MT1.5-1.8B-FP8")
    model = AutoModelForCausalLM.from_pretrained("tencent/HY-MT1.5-1.8B-FP8", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Help Request Draft: HY-MT1.5-7B-FP8 OpenAI-Compatible Response Shape / Japanese-Dominant HTTP 500

#2 opened 5 months ago by
PeterchanCN
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs