Instructions to use futuredatascience/welcome_message_prod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use futuredatascience/welcome_message_prod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="futuredatascience/welcome_message_prod")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("futuredatascience/welcome_message_prod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b559dc2f96b3d7329468a7642d97efa6100d183ebefba0c9ae599d7d2665d290
- Size of remote file:
- 712 kB
- SHA256:
- 0d3aef594edd5f9b53e7f814277a9171dc70ff93eb66bda6e01f7aa53997d963
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