Instructions to use TuhinColumbia/multiopus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TuhinColumbia/multiopus with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TuhinColumbia/multiopus") model = AutoModelForSeq2SeqLM.from_pretrained("TuhinColumbia/multiopus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac2554de2eb5de91e12d2e653f6234b13c5b24e68e5c56fcc6b4763c0a5611fb
- Size of remote file:
- 2.44 GB
- SHA256:
- 59ce1d48441e0d272042780ea5b5c89eaa813e102c5fbb7082c38ccd25ef9a9c
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