Instructions to use bloom-testing/test-bloomd-350m-main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bloom-testing/test-bloomd-350m-main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bloom-testing/test-bloomd-350m-main")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bloom-testing/test-bloomd-350m-main") model = AutoModel.from_pretrained("bloom-testing/test-bloomd-350m-main") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9711690bc1f267aba9a3fb75ce0040e2e58e593b2e72487fc35d6d0bbce2d2b9
- Size of remote file:
- 514 MB
- SHA256:
- adc3cf5a4ac0e1188d731764f10555b1bef46e235fa12b28a8c7768da47ae463
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