Instructions to use zzfive/ComfyChat-InternLM2-7b-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zzfive/ComfyChat-InternLM2-7b-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zzfive/ComfyChat-InternLM2-7b-v1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zzfive/ComfyChat-InternLM2-7b-v1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload the third file of weights
Browse files
pytorch_model-00003-of-00008.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c4d08161f63fac13d403ea1f9c18904a374b96357324407d28fc1e6d908847b
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size 1979787307
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