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:
- fa7a9015af880bd9396d65616cca26c6c45b2803b4bdd63d0648d8bc571c5983
- Size of remote file:
- 2.42 kB
- SHA256:
- f5431d7660bf4bbd74226aa95eb4a1b058c8aee09dae17832853f0a75ad49452
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