Instructions to use Rahulrr/language_model_en_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rahulrr/language_model_en_de with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="Rahulrr/language_model_en_de")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rahulrr/language_model_en_de") model = AutoModelForSeq2SeqLM.from_pretrained("Rahulrr/language_model_en_de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Rahulrr/language_model_en_de: direct link, hf CLI and curl.
- Browser
- Download file 619 MB
-
https://huggingface.co/Rahulrr/language_model_en_de/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Rahulrr/language_model_en_de/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Rahulrr/language_model_en_de/resolve/main/pytorch_model.bin
619 MB
- Xet hash:
- 5c71ecbefe81613c740245bdcbdc22444dcf159ee20c104db47907d4b6001693
- Size of remote file:
- 619 MB
- SHA256:
- 1158c21e9262a18d917029b5d2064db960fda3469737094597c80d811d0ac7af
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