Instructions to use BigSalmon/T52 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/T52 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/T52") model = AutoModelForSeq2SeqLM.from_pretrained("BigSalmon/T52", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1468143c71370eac01e46a413d4b1d6e2b216a29ba485bf472d159ac45615820
- Size of remote file:
- 892 MB
- SHA256:
- 60dbb1f87beb91f965e27cbcc1b52d01aa29813f05d0cbcaeea6fe4e43015640
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