Instructions to use Echolist-yixuan/chatglm2-6b-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Echolist-yixuan/chatglm2-6b-qlora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Echolist-yixuan/chatglm2-6b-qlora", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Echolist-yixuan/chatglm2-6b-qlora", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
This model is a fine-tuned model based on chatGLM2-6b with QLoRA. The only difference between this model and chatGLM2-6b should be the knowledge of "LoRA" and 'QLoRA' technique.
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