Instructions to use m-a-p/Kun-PrimaryChatModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-a-p/Kun-PrimaryChatModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="m-a-p/Kun-PrimaryChatModel", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("m-a-p/Kun-PrimaryChatModel", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload trainer_log.jsonl with huggingface_hub
Browse files- trainer_log.jsonl +0 -0
trainer_log.jsonl
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