Transformers
PyTorch
code
t5
text2text-generation
code generation
code translation
bug fixing
text-generation-inference
Instructions to use saikatc/NatGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saikatc/NatGen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("saikatc/NatGen") model = AutoModelForSeq2SeqLM.from_pretrained("saikatc/NatGen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 297aab628263ce17c5f6c16bb5090876522741c82944ca8a7eb2e9117c6c219b
- Size of remote file:
- 892 MB
- SHA256:
- fd5773bf033c8612aa39b2a0cfe93f4462ab924a242c65cfe910f4d04476ed82
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