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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d28c3fbc597f111e2f190463f2e609776e9d836bd499ff83cce6c41761acdf19
- Size of remote file:
- 14.5 MB
- SHA256:
- 8f6efc66e73f1fd69da4f436e48befb519fdff3fe18910850c1d41bd862293a5
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