Instructions to use megadarkparticle/testmodel1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use megadarkparticle/testmodel1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="megadarkparticle/testmodel1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("megadarkparticle/testmodel1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from megadarkparticle/testmodel1: direct link, hf CLI and curl.
- Browser
- Download file 117 Bytes
-
https://huggingface.co/megadarkparticle/testmodel1/resolve/main/generation_config.json
- Command line
-
hf download hf://megadarkparticle/testmodel1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/megadarkparticle/testmodel1/resolve/main/generation_config.json
117 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": [ | |
| 151644, | |
| 151645 | |
| ], | |
| "transformers_version": "4.37.2" | |
| } | |