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 sentencepiece.bpe.model from hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 4.85 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration/resolve/refs%2Fpr%2F10/sentencepiece.bpe.model
- Command line
-
hf download hf://hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration@refs/pr/10/sentencepiece.bpe.model
-
curl -L -o sentencepiece.bpe.model https://huggingface.co/hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration/resolve/refs%2Fpr%2F10/sentencepiece.bpe.model
4.85 MB
- Xet hash:
- 5a49bb827da480c22c5bfab7f453b923b8e7f4624f3d1f1672e130e59f6016aa
- Size of remote file:
- 4.85 MB
- SHA256:
- 14bb8dfb35c0ffdea7bc01e56cea38b9e3d5efcdcb9c251d6b40538e1aab555a
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