Instructions to use ummagumm-a/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ummagumm-a/output with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ummagumm-a/output") model = AutoModelForSeq2SeqLM.from_pretrained("ummagumm-a/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faa8a420148a54c941e60bcc7a3041d45b637ca0a212a176aba3d76ecf244fe1
- Size of remote file:
- 4.66 kB
- SHA256:
- 644d779470262ce6979a7a91a49c03c7023319568440cfd83402311e653f8b30
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