Instructions to use mamlong34/t5_small_cosmos_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mamlong34/t5_small_cosmos_qa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mamlong34/t5_small_cosmos_qa") model = AutoModelForSeq2SeqLM.from_pretrained("mamlong34/t5_small_cosmos_qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 824964cea32ff3c407a806ae34e1eb95f379a8c64f0c5bf44dbedbe5fc21c02a
- Size of remote file:
- 2.93 kB
- SHA256:
- 4ecb5ccbef93e6dde39f8f27f7fdc2c6cf96dfcbdd9ec5fb9d76d85c16f2b2ab
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