Instructions to use rose-e-wang/finetuned_annotation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/finetuned_annotation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/finetuned_annotation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/finetuned_annotation") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/finetuned_annotation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fef7cfcc61832015004d4e3b2c4cd99cc096d92444d17967a8c83d55a04b5410
- Size of remote file:
- 1.42 GB
- SHA256:
- ffde3cb2240304d6a55936a04ad8f3bbc282aa8825db45a9192e818dd0c28785
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