Instructions to use rewicks/baseline_en-de_16k_ep4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rewicks/baseline_en-de_16k_ep4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rewicks/baseline_en-de_16k_ep4") model = AutoModelForSeq2SeqLM.from_pretrained("rewicks/baseline_en-de_16k_ep4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95f4e46fadd315942219c5972b26da48e04ee3001bd2a2606e51070fc4000b02
- Size of remote file:
- 511 kB
- SHA256:
- 65358d205405a2be2b7c9ea79e1b2277802ac9463c826c4a2ee7f0c5d038f7e4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.