Instructions to use bggmyfuture-ai/serviall_multiclass_local with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bggmyfuture-ai/serviall_multiclass_local with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bggmyfuture-ai/serviall_multiclass_local")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bggmyfuture-ai/serviall_multiclass_local") model = AutoModelForSequenceClassification.from_pretrained("bggmyfuture-ai/serviall_multiclass_local", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da5110937f06ad8459649a713ca7edf554639b419652f193708736e680b62047
- Size of remote file:
- 1.88 GB
- SHA256:
- e8c8d3bdaed5eb241230e91405c8e152ed9e00f55f47cdee47b2b7b2ab74eba5
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