Instructions to use zzfive/ComfyChat-InternLM2-7b-v2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zzfive/ComfyChat-InternLM2-7b-v2-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zzfive/ComfyChat-InternLM2-7b-v2-1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zzfive/ComfyChat-InternLM2-7b-v2-1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zzfive/ComfyChat-InternLM2-7b-v2-1: direct link, hf CLI and curl.
- Browser
- Download file 5.79 MB
-
https://huggingface.co/zzfive/ComfyChat-InternLM2-7b-v2-1/resolve/main/tokenizer.json
- Command line
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hf download hf://zzfive/ComfyChat-InternLM2-7b-v2-1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/zzfive/ComfyChat-InternLM2-7b-v2-1/resolve/main/tokenizer.json
5.79 MB
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