Instructions to use ssdatar/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssdatar/output with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ssdatar/output") model = AutoModelForSeq2SeqLM.from_pretrained("ssdatar/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39786c7b2daa56c5041b54e0909a99e1f605f4513fd88d9b67c091af78b0cfe5
- Size of remote file:
- 4.54 kB
- SHA256:
- 9e7730115c92e46eeae0be4ce09f52aa5e880ffd6b3e375915e071d86f4016d3
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