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:
- 92b996c6c7026a25d6431a3c90f5083b833e75a2a2558aac372ba20b4aef4ba4
- Size of remote file:
- 280 Bytes
- SHA256:
- 06e405a36dfe4b9604f484f6a1e619af1a7f7d09e34a8555eb0b77b66318067f
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