Instructions to use Shahid04/RandomDataModelq22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shahid04/RandomDataModelq22 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shahid04/RandomDataModelq22") model = AutoModelForSeq2SeqLM.from_pretrained("Shahid04/RandomDataModelq22", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f8add9e9b89ace0b26fa56b93ca0e63e2aab32f07f71d7e0ec37c466d2c9101
- Size of remote file:
- 1.46 GB
- SHA256:
- 94e34f085beffb7f8daa37ff53f03838f209918843009e85093bf1bfaa1b58c0
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