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

THP2903
/
Vintern-1B-v3_5_multi

Feature Extraction
Transformers
Safetensors
internvl_chat
Generated from Trainer
trl
sft
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use THP2903/Vintern-1B-v3_5_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use THP2903/Vintern-1B-v3_5_multi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="THP2903/Vintern-1B-v3_5_multi", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("THP2903/Vintern-1B-v3_5_multi", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • .gitattributes
    1.57 kB
    Training in progress, step 20 over 1 year ago
  • README.md
    1.7 kB
    Model save over 1 year ago
  • added_tokens.json
    790 Bytes
    Training in progress, step 20 over 1 year ago
  • config.json
    5.44 kB
    Training in progress, step 20 over 1 year ago
  • generation_config.json
    134 Bytes
    Model save over 1 year ago
  • merges.txt
    1.67 MB
    Training in progress, step 20 over 1 year ago
  • model.safetensors
    1.88 GB
    xet
    Model save over 1 year ago
  • special_tokens_map.json
    744 Bytes
    Training in progress, step 20 over 1 year ago
  • tokenizer.json
    11.4 MB
    xet
    Training in progress, step 20 over 1 year ago
  • tokenizer_config.json
    9.05 kB
    Training in progress, step 20 over 1 year ago
  • training_args.bin
    5.75 kB
    xet
    Training in progress, step 20 over 1 year ago
  • vocab.json
    2.78 MB
    Training in progress, step 20 over 1 year ago