Instructions to use imamnurby/rob2rand_chen_w_prefix_tc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imamnurby/rob2rand_chen_w_prefix_tc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("imamnurby/rob2rand_chen_w_prefix_tc") model = AutoModelForSeq2SeqLM.from_pretrained("imamnurby/rob2rand_chen_w_prefix_tc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 166adff48639a8ac2bd003d543410aecdad8b94abdc293e9fd7ac431f04de063
- Size of remote file:
- 3.25 kB
- SHA256:
- dacfe061cd121f3d67169ca42c3337d1e5cba3582d745d0c471c1126dc69c8c9
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