Instructions to use Rohith04/ct2fast_m2m100_418M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rohith04/ct2fast_m2m100_418M 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="Rohith04/ct2fast_m2m100_418M")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rohith04/ct2fast_m2m100_418M", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f464ec544e0305558bb0782de80980f90099dda8cc8b0a53851add37e7ad9405
- Size of remote file:
- 488 MB
- SHA256:
- a68b104a4e4db53165562b6d7d30839b318242e5042081a5407885cc2266a66c
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