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
File size: 136 Bytes
5491b69 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:842ed99ea2c0a5389fad4876c4519253ae0f02ca9dfd4eeebc62e860fa65014e
size 28276195547
|