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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sumitng/samm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| 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 | |