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:
- c22a976c6568dda67e86f5639734224438a1846684faaa2ac3bae4f8fa01005f
- Size of remote file:
- 5.17 MB
- SHA256:
- 026a76827537db9f1348e4d5aaa127bb10a2f2ff633243f3a52d16be82d73f9d
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