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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a8e78c13110e5d730f5388bc4a084f3314d08234cb049decb4bcf0efa06e3e3
- Size of remote file:
- 368 kB
- SHA256:
- 15183a202fe865f671c8c678eadedec49fb822a835f27c02ab296e8034c836ef
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