Instructions to use JD97/train-32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JD97/train-32B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="JD97/train-32B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("JD97/train-32B") model = AutoModel.from_pretrained("JD97/train-32B") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 1.52 kB
- 5.17 kB
- 2.11 kB
- 4.5 GB xet
- 4.72 GB xet
- 4.47 GB xet
- 4.47 GB xet
- 4.72 GB xet
- 4.47 GB xet
- 4.47 GB xet
- 4.72 GB xet
- 4.47 GB xet
- 4.47 GB xet
- 4.72 GB xet
- 4.47 GB xet
- 4.47 GB xet
- 4.72 GB xet
- 4.47 GB xet
- 4.47 GB xet
- 4.72 GB xet
- 4.47 GB xet
- 4.47 GB xet
- 4.72 GB xet
- 4.47 GB xet
- 4.47 GB xet
- 4.72 GB xet
- 4.47 GB xet
- 4.47 GB xet
- 4.72 GB xet
- 4.47 GB xet
- 4.47 GB xet
- 566 MB xet
- 58.6 kB