Instructions to use Yanmife/nllb-menyo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Yanmife/nllb-menyo with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M") model = PeftModel.from_pretrained(base_model, "Yanmife/nllb-menyo") - Transformers
How to use Yanmife/nllb-menyo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Yanmife/nllb-menyo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Yanmife/nllb-menyo: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/Yanmife/nllb-menyo/resolve/main/tokenizer.json
- Command line
-
hf download hf://Yanmife/nllb-menyo/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Yanmife/nllb-menyo/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- bc7a4e9b59f79df3c212bbe64557088573ec918e14ccbac6b15cbb966e4157b1
- Size of remote file:
- 32.2 MB
- SHA256:
- e9cfaed798dac7dc5602521707e09b273c825d861c5dd92525a544d65abe1f7b
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