Instructions to use weijiang2009/AlgmonMTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use weijiang2009/AlgmonMTModel 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="weijiang2009/AlgmonMTModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("weijiang2009/AlgmonMTModel") model = AutoModelForSeq2SeqLM.from_pretrained("weijiang2009/AlgmonMTModel") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a567d463a3a859ff4e86ce44e590672b2425ed6cd93b4b98c382cd2b9bea625
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size 312062468
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