Instructions to use apple/DCLM-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/DCLM-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apple/DCLM-7B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Request for Example of DCLM-7B Model Fine-Tuning
Dear Community Members,
Greetings!
I am currently engaged in research work utilizing the DCLM-7B model and am looking to fine-tune it for specific application scenarios. However, I have found that there are limited resources available online regarding the fine-tuning of this model. To better understand and implement the fine-tuning process, I am seeking assistance from our community.
I am hoping to receive support in the following areas:
- General steps and best practices for fine-tuning the DCLM-7B model.
- Any available sample code or configuration files that could help me get started quickly.
- Common issues encountered by community members when fine-tuning this model and their solutions.
I believe that by sharing knowledge and experience, we can all benefit and contribute to the advancement of our field. If any member is willing to share their insights or experiences, I would be very grateful.
Thank you for your time and consideration. I look forward to your replies and suggestions.