Transformers
Safetensors
t5
text2text-generation
code-translation
code-to-code
java
csharp
text-generation-inference
Instructions to use lafarizo/code_translation_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lafarizo/code_translation_v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lafarizo/code_translation_v1") model = AutoModelForSeq2SeqLM.from_pretrained("lafarizo/code_translation_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fedaddaf879852c18691d6af1331fa486d71f44b070fd5b626f3f0612e31c631
- Size of remote file:
- 892 MB
- SHA256:
- 95e4b0e1c8e7d43fe477558df828bea0d8b0c6e8839a80e34d64fdde5985784a
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