Instructions to use haochenhe/lab1_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haochenhe/lab1_random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("haochenhe/lab1_random") model = AutoModelForSeq2SeqLM.from_pretrained("haochenhe/lab1_random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8df9f0af92272997a84b426017a39ee70a3f28a1c6187c9a247e086958ed1cff
- Size of remote file:
- 299 MB
- SHA256:
- 63f6dfc194f70f952d97ee7de30d2eab02987850e832b6cb3ea2444aeccf07bf
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