Instructions to use Adorg/cm231104 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adorg/cm231104 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Adorg/cm231104", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Adorg/cm231104", trust_remote_code=True) model = AutoModel.from_pretrained("Adorg/cm231104", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f84ac1e1ebf31961a2d56c3f4bb10db1f56a10d5372d02d9c2b2d8bb68a39d6e
- Size of remote file:
- 450 MB
- SHA256:
- ced3f529ae60d10c6734e5c9bf800f5f09a608b63ea1f8f52ee5c3dc9ee93541
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