Instructions to use mekhak/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mekhak/outputs with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mekhak/outputs") model = AutoModelForSeq2SeqLM.from_pretrained("mekhak/outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3198d84eba7f8888884e8b1629b5c5095002903036aeb90f3cb0a0fea03a0312
- Size of remote file:
- 4.86 kB
- SHA256:
- a5fb63ab21e782f6e61ffb90f9e5f9182949e46044f83d53cdcbe937efcfd014
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