Instructions to use izhx/udever-bloom-560m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use izhx/udever-bloom-560m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="izhx/udever-bloom-560m")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("izhx/udever-bloom-560m") model = AutoModel.from_pretrained("izhx/udever-bloom-560m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cad28f68e65781b0f04726af64a96b8ae98380f3a3a77ff4f5ebb1ced7a44fc4
- Size of remote file:
- 2.24 GB
- SHA256:
- 30d16ac58e495419a3e74d83ab90c522477bf53e720e15e93005bf240f328997
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