Text Generation
TensorRT
Safetensors
PyTorch
English
llama
code
developer-agent
blackwell
rtx-5070
slm
conversational
Instructions to use Vivid86/MiniTransformer-91M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use Vivid86/MiniTransformer-91M with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Vivid86/MiniTransformer-91M: direct link, hf CLI and curl.
- Browser
- Download file 238 Bytes
-
https://huggingface.co/Vivid86/MiniTransformer-91M/resolve/main/generation_config.json
- Command line
-
hf download hf://Vivid86/MiniTransformer-91M/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Vivid86/MiniTransformer-91M/resolve/main/generation_config.json
238 Bytes
| { | |
| "bos_token_id": 2, | |
| "eos_token_id": 3, | |
| "pad_token_id": 0, | |
| "max_length": 1024, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "top_k": 40, | |
| "repetition_penalty": 1.15, | |
| "do_sample": true, | |
| "transformers_version": "4.45.0" | |
| } |