Instructions to use melvin127/nllb-200-en-runyoro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melvin127/nllb-200-en-runyoro with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("melvin127/nllb-200-en-runyoro") model = AutoModelForSeq2SeqLM.from_pretrained("melvin127/nllb-200-en-runyoro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from melvin127/nllb-200-en-runyoro: direct link, hf CLI and curl.
- Browser
- Download file 194 Bytes
-
https://huggingface.co/melvin127/nllb-200-en-runyoro/resolve/main/generation_config.json
- Command line
-
hf download hf://melvin127/nllb-200-en-runyoro/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/melvin127/nllb-200-en-runyoro/resolve/main/generation_config.json
194 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": [ | |
| 2 | |
| ], | |
| "max_length": 200, | |
| "pad_token_id": 1, | |
| "transformers_version": "5.13.1" | |
| } | |