Instructions to use maxbsdv/LEO-SeamlessM4T-v2-Large-Roverplastik with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use maxbsdv/LEO-SeamlessM4T-v2-Large-Roverplastik with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/seamless-m4t-v2-large") model = PeftModel.from_pretrained(base_model, "maxbsdv/LEO-SeamlessM4T-v2-Large-Roverplastik") - Transformers
How to use maxbsdv/LEO-SeamlessM4T-v2-Large-Roverplastik 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="maxbsdv/LEO-SeamlessM4T-v2-Large-Roverplastik")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("maxbsdv/LEO-SeamlessM4T-v2-Large-Roverplastik", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a563bc73d47aeb2774355714aa93e95d3833ef63b59e77ea6d9d520a3d8c3360
- Size of remote file:
- 31.2 MB
- SHA256:
- bb08273b3ab8f38ebcb33558f96257ef97beeb0441f8a28eb886ae71d9f3e1fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.