Instructions to use fliarbi/long-about-teams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fliarbi/long-about-teams with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fliarbi/long-about-teams") model = AutoModelForSeq2SeqLM.from_pretrained("fliarbi/long-about-teams", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2872e94a1c04c797657b223671a637c4f3a0d882d41847b8a156777dd0c78222
- Size of remote file:
- 4.79 kB
- SHA256:
- ff4d2cb1b69a3d6609014c12efed26b66eaa2726a2757686548085072d471b59
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