Instructions to use AnonymousSub/AR_cline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/AR_cline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/AR_cline")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/AR_cline") model = AutoModel.from_pretrained("AnonymousSub/AR_cline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06395867e0b2a65022953a5993046611aebd4c7b00ce6f503b5a077db72973a4
- Size of remote file:
- 499 MB
- SHA256:
- 5201ebc9a76ff2fcd0ee727dec2d6f46e72100c1733205cf2c915c7580b015d0
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