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
- Xet hash:
- 147639bc9105909a9458edba5faefbb56260b76503339d25420645df610630c4
- Size of remote file:
- 300 MB
- SHA256:
- a5dfce419fbcc5ae47b8d9da0c0702afcca79dc2398a0c8700112aaea48e95d8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.