Instructions to use lilferrit/ft-wmt14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lilferrit/ft-wmt14 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lilferrit/ft-wmt14") model = AutoModelForSeq2SeqLM.from_pretrained("lilferrit/ft-wmt14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lilferrit/ft-wmt14: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/lilferrit/ft-wmt14/resolve/main/tokenizer.json
- Command line
-
hf download hf://lilferrit/ft-wmt14/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lilferrit/ft-wmt14/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 57c01db4b500c31ef7cb9967bdf5f32e40912c726282b9e068fac4892f1fa07c
- Size of remote file:
- 16.3 MB
- SHA256:
- 84ec7ac09e74719df0d7ac26684f6bb9939553133a2b7916d91c08ff9d959a2f
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