Instructions to use diffraction-zebra/lalala with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffraction-zebra/lalala with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("diffraction-zebra/lalala") model = AutoModelForSeq2SeqLM.from_pretrained("diffraction-zebra/lalala", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from diffraction-zebra/lalala: direct link, hf CLI and curl.
- Browser
- Download file 162 Bytes
-
https://huggingface.co/diffraction-zebra/lalala/resolve/main/generation_config.json
- Command line
-
hf download hf://diffraction-zebra/lalala/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/diffraction-zebra/lalala/resolve/main/generation_config.json
162 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 2, | |
| "max_length": 64, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.48.2" | |
| } | |