Instructions to use sumitng/samm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sumitng/samm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sumitng/samm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from sumitng/samm: direct link, hf CLI and curl.
- Browser
- Download file 413 Bytes
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https://huggingface.co/sumitng/samm/resolve/main/README.md
- Command line
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hf download hf://sumitng/samm/README.md
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curl -L -o README.md https://huggingface.co/sumitng/samm/resolve/main/README.md
413 Bytes
metadata
license: apache-2.0
datasets:
- >-
Manusagents/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset
- greghavens/gpt-5.6-sol-coding-and-debugging-traces
- huggingface/diffusers-metadata
language:
- en
- hi
metrics:
- google_bleu
- openpecha/bleurt
base_model:
- xai-org/grok-2
new_version: meta-models/Muse-Glimmer-30B
library_name: transformers
tags:
- agent