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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SushantGautam/CodeGeneration") model = AutoModelForMaskedLM.from_pretrained("SushantGautam/CodeGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SushantGautam/CodeGeneration: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/SushantGautam/CodeGeneration/resolve/e2c73cc3bdcff8ce0709f05c7868fd14fe4e063e/tokenizer.json
- Command line
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hf download hf://SushantGautam/CodeGeneration@e2c73cc3bdcff8ce0709f05c7868fd14fe4e063e/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/SushantGautam/CodeGeneration/resolve/e2c73cc3bdcff8ce0709f05c7868fd14fe4e063e/tokenizer.json
1.37 MB
File too large to display, you can check the raw version instead.