Instructions to use michaelnath/dummy_code_to_code_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelnath/dummy_code_to_code_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("michaelnath/dummy_code_to_code_model") model = AutoModelForSeq2SeqLM.from_pretrained("michaelnath/dummy_code_to_code_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
aa853fe
1
Parent(s): f87d77c
Training in progress, step 1000
Browse files
pytorch_model.bin
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runs/Feb27_23-12-14_5acd81d5251b/events.out.tfevents.1677539545.5acd81d5251b.4529.0
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