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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b3a4336a7ad64918b4b7ce2f9436a5ad5dbb7f8cb550f717135313230e6e096
- Size of remote file:
- 1.88 GB
- SHA256:
- 5b0d891acdd5d91d07c9a4c1cdfedcc87ffe8613851add4d565e4bddcddbfbbe
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