Instructions to use bumblebee-testing/tiny-random-NomicBertModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-NomicBertModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bumblebee-testing/tiny-random-NomicBertModel", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-NomicBertModel", trust_remote_code=True) model = AutoModel.from_pretrained("bumblebee-testing/tiny-random-NomicBertModel", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21c86b3cb6046ab794505fc56f25b8e0c95bbe91c097ea7e9c2ff7e32f6e4e91
- Size of remote file:
- 368 kB
- SHA256:
- 4dbc2669bf099d4104f991d26871e5c3769ec10b26bf1888b799c74ac6606951
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