Instructions to use SushantGautam/CodeGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SushantGautam/CodeGeneration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SushantGautam/CodeGeneration")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SushantGautam/CodeGeneration") model = AutoModelForMaskedLM.from_pretrained("SushantGautam/CodeGeneration") - Notebooks
- Google Colab
- Kaggle
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README.md
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# CodeGeneration
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## Training and evaluation data
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## Training procedure
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- name: CodeGeneration
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results: []
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CodeGeneration model trained by Sushant for A Major Project group at Thapathali Campus.
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# CodeGeneration
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## Training and evaluation data
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Check training logs at [wandb.ai/ubl/CodeGeneration](https://wandb.ai/ubl/CodeGeneration)
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## Training procedure
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