Instructions to use BenjaminPittsley/ue5-code-expert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminPittsley/ue5-code-expert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BenjaminPittsley/ue5-code-expert") model = AutoModelForSeq2SeqLM.from_pretrained("BenjaminPittsley/ue5-code-expert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cb86f56a57d9da9f8d8ef6816fb6338aaf983d62834f04f0d7f83d1e8463345
- Size of remote file:
- 308 MB
- SHA256:
- 495fa51e204676f1a857a9fc13c4c89f3f5ba9f480b898cebca02add25e6d749
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