Instructions to use bggmyfuture-ai/models_hub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bggmyfuture-ai/models_hub with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bggmyfuture-ai/models_hub")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bggmyfuture-ai/models_hub") model = AutoModelForSequenceClassification.from_pretrained("bggmyfuture-ai/models_hub") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd4757e340cea26d1f5d5f4a58a7abb5bcbc141164ecd3c2ca56e8416a02b3fd
- Size of remote file:
- 3.45 kB
- SHA256:
- 1f1b3f45146642c880bbb24c8aee759fd711c038dda3f916ceed3dc6f532d180
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