Instructions to use hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 168 Bytes
-
https://huggingface.co/hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration/resolve/refs%2Fpr%2F10/generation_config.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration@refs/pr/10/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration/resolve/refs%2Fpr%2F10/generation_config.json
168 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": 2, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.28.0.dev0" | |
| } | |