Instructions to use feralvam/autotrain-rustance-stance-xlmr-2440275732 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feralvam/autotrain-rustance-stance-xlmr-2440275732 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="feralvam/autotrain-rustance-stance-xlmr-2440275732")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("feralvam/autotrain-rustance-stance-xlmr-2440275732", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 847ed1d08c50afd2ff9c5a9d640843dd5c1091feaef40387ed40b2912bdb8cc1
- Size of remote file:
- 1.11 GB
- SHA256:
- b57a1fc8e968e5aca1f1ae50d448cfd2521a800237775492d71179c84d27fbea
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