Instructions to use raphaelmerx/marian-finetuned-en-map with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelmerx/marian-finetuned-en-map with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("raphaelmerx/marian-finetuned-en-map") model = AutoModelForSeq2SeqLM.from_pretrained("raphaelmerx/marian-finetuned-en-map", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from raphaelmerx/marian-finetuned-en-map: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/raphaelmerx/marian-finetuned-en-map/resolve/main/training_args.bin
- Command line
-
hf download hf://raphaelmerx/marian-finetuned-en-map/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/raphaelmerx/marian-finetuned-en-map/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 10179a27382720bbf34da71290487e2cac8eadb1e1d54ff9c99c4651654e7caa
- Size of remote file:
- 3.06 kB
- SHA256:
- 0928422a19f147baf587680dd24f19934bb9c48d4d488e0fa0bfe7a6a3fc1f7e
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