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:
- 04ca84848a28adc035016bd9b6c70feb5583f0ba8a165d1d2abcf8c06f8c4297
- Size of remote file:
- 1.11 GB
- SHA256:
- bfdb7aa36d7553986adba70b2e67b41a28fb1613c4e0378c254a458d1fd8c142
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