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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
9a21579 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:78d0e717c77053f1c4b856d8661d9cb87c64f083a35418c087b9146300e4f585
size 802397
|