Instructions to use Leonel-Maia/nllb_complete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leonel-Maia/nllb_complete with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Leonel-Maia/nllb_complete") model = AutoModelForSeq2SeqLM.from_pretrained("Leonel-Maia/nllb_complete", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Leonel-Maia/nllb_complete: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/Leonel-Maia/nllb_complete/resolve/main/tokenizer.json
- Command line
-
hf download hf://Leonel-Maia/nllb_complete/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Leonel-Maia/nllb_complete/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- cfe55fe8e7cbb1aaab3a86a34c21bbe12dc641be583e8827c9a1bf0ad30dc870
- Size of remote file:
- 32.2 MB
- SHA256:
- 08ca91e12dec3f276d468c2806ceac52ef51ee31e0ad050958210986301aeedc
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