Instructions to use FiveC/SwitchOut_Bahna_Vie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/SwitchOut_Bahna_Vie with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/SwitchOut_Bahna_Vie") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/SwitchOut_Bahna_Vie", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 426a29550b36668d18a371c047bfedf5806f7571270d9f6424ae19e56d2cd9ef
- Size of remote file:
- 5.97 kB
- SHA256:
- 5d46c8ce3fd8859010720394197d674b76fc9365ed6158e2e1e968348446315c
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