Instructions to use leonfrank/internlm-personal_assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonfrank/internlm-personal_assistant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leonfrank/internlm-personal_assistant", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leonfrank/internlm-personal_assistant", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from leonfrank/internlm-personal_assistant: direct link, hf CLI and curl.
- Browser
- Download file 1.66 MB
-
https://huggingface.co/leonfrank/internlm-personal_assistant/resolve/main/tokenizer.model
- Command line
-
hf download hf://leonfrank/internlm-personal_assistant/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/leonfrank/internlm-personal_assistant/resolve/main/tokenizer.model
1.66 MB
- Xet hash:
- bac0d2791b65f8c425cfd1f981d6cec923fddeb2a7a07b663a958c04506f17e1
- Size of remote file:
- 1.66 MB
- SHA256:
- aab622d98c98677a1a51f969e25765154487bf3e85c7819db105db2fcacba83f
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