Translation
Transformers
PyTorch
TensorBoard
Safetensors
English
marian
text2text-generation
Generated from Trainer
Instructions to use SRDdev/HingFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SRDdev/HingFlow 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="SRDdev/HingFlow")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SRDdev/HingFlow") model = AutoModelForSeq2SeqLM.from_pretrained("SRDdev/HingFlow", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (5f781a9d04518269874b4e7ced19f8d6d8b28456) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>2e0da2a
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End of training
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initial commit
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