Instructions to use Everlyn/transformer_en_de10ish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Everlyn/transformer_en_de10ish with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Everlyn/transformer_en_de10ish") model = AutoModelForSeq2SeqLM.from_pretrained("Everlyn/transformer_en_de10ish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Everlyn/transformer_en_de10ish: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Everlyn/transformer_en_de10ish/resolve/main/tokenizer.json
- Command line
-
hf download hf://Everlyn/transformer_en_de10ish/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Everlyn/transformer_en_de10ish/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 5a5be54612cfecd2bc120f6aaf865c453274f00959234bdfbd5665c6bb103196
- Size of remote file:
- 17.1 MB
- SHA256:
- 1d58a68c276b56fcc48c165c63f70e5e4d452b4182032a5f7a2d018f4aa1a889
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