Instructions to use Davlan/mbart50-large-yor-eng-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/mbart50-large-yor-eng-mt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/mbart50-large-yor-eng-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/mbart50-large-yor-eng-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Davlan/mbart50-large-yor-eng-mt: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/Davlan/mbart50-large-yor-eng-mt/resolve/main/training_args.bin
- Command line
-
hf download hf://Davlan/mbart50-large-yor-eng-mt/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Davlan/mbart50-large-yor-eng-mt/resolve/main/training_args.bin
2.74 kB
- Xet hash:
- 5bb6fb32d8227f5418f75d00efea47005330e605b0d4c0958bce691d0698ce36
- Size of remote file:
- 2.74 kB
- SHA256:
- 95e4eb533e04359b8ef5811a4faef1437421077c55236f1a5419a046a5ef5f8c
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