Translation
Transformers
Safetensors
English
French
marian
text2text-generation
seq2seq
Eval Results (legacy)
Instructions to use rdj-034/lab2_efficient with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rdj-034/lab2_efficient 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="rdj-034/lab2_efficient")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rdj-034/lab2_efficient") model = AutoModelForSeq2SeqLM.from_pretrained("rdj-034/lab2_efficient") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56e11641a0a5d3386a5dd5b93e16e93fdce2c09bf704830f9babf9b3d6072289
- Size of remote file:
- 542 MB
- SHA256:
- ced1bffbab94f8037a0314601629a0c75f9991ec735a4b895410545ad3f0bfa8
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