Instructions to use asas-ai/bloom_1B_8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asas-ai/bloom_1B_8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="asas-ai/bloom_1B_8bit")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("asas-ai/bloom_1B_8bit") model = AutoModel.from_pretrained("asas-ai/bloom_1B_8bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3e03ddc05c249d9d623eca20bcc94a7d5b27e85fc1fe9db649fa4ee06ec1989
- Size of remote file:
- 2.24 GB
- SHA256:
- 1bda3cb520d7d853ac99f40f09b5e7f98d63e468f0ea3698cefec0d344686278
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