Instructions to use liamcripwell/pgdyn-simp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liamcripwell/pgdyn-simp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("liamcripwell/pgdyn-simp") model = AutoModelForSeq2SeqLM.from_pretrained("liamcripwell/pgdyn-simp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e0522aadde2a544e71c0ccae80aff5247be03c7ac1df290810ad679f348e2ef
- Size of remote file:
- 558 MB
- SHA256:
- 85b7de8eabc218f95f0ebe3b3a30aec966da74a1c2017646ba74d70feac7bf08
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