Instructions to use Trickshotblaster/leetcoder-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trickshotblaster/leetcoder-qa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Trickshotblaster/leetcoder-qa") model = AutoModelForSeq2SeqLM.from_pretrained("Trickshotblaster/leetcoder-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3399be357ef54622d46fb3185e3207455718733cc5cf0ddd42e67c03c52e02c5
- Size of remote file:
- 374 MB
- SHA256:
- 1f900ac2d9e37b6bd915daa4694584651c13b59e9890ff9b8a43187818019061
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