Instructions to use michaelfeil/ct2fast-Pythia-Chat-Base-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-Pythia-Chat-Base-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-Pythia-Chat-Base-7B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a51206a3a34176a958630e8c51c02cb28e074d48da2c649da362b1cd3418f94
- Size of remote file:
- 13.7 GB
- SHA256:
- c16eb0b13fe2b2522855e5ef32152934ec3751c215e5e299c2b13b8a2ba41d16
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