Instructions to use taskydata/bloomz-7b1-c4tasky with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taskydata/bloomz-7b1-c4tasky with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="taskydata/bloomz-7b1-c4tasky")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("taskydata/bloomz-7b1-c4tasky") model = AutoModel.from_pretrained("taskydata/bloomz-7b1-c4tasky") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcf84c94e2f4ffec75faedc5f2632d7b81e848640e2bb6397bf0470c42708f44
- Size of remote file:
- 28.3 GB
- SHA256:
- 842ed99ea2c0a5389fad4876c4519253ae0f02ca9dfd4eeebc62e860fa65014e
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