Instructions to use yuniv/sample1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuniv/sample1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yuniv/sample1") model = AutoModelForSeq2SeqLM.from_pretrained("yuniv/sample1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02a827a617dfc7bb8cc7a823d96db212684fa6f292401e6b65cb092dc4cfd8a6
- Size of remote file:
- 496 MB
- SHA256:
- 125b51c8602bb263fda7fb32b5683c29e5e2db61e31030c08e534c6023ffd40b
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