Instructions to use Henry65/unixcoder-nine-cosqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Henry65/unixcoder-nine-cosqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Henry65/unixcoder-nine-cosqa")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Henry65/unixcoder-nine-cosqa") model = AutoModel.from_pretrained("Henry65/unixcoder-nine-cosqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be48163b12eb581a928384d28324f749cfe792759281cf30f9044d3b8637561f
- Size of remote file:
- 504 MB
- SHA256:
- 2326c8928e54a746f9b9b53683db6b5fa388b09029f07cd168d913044f85789d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.