Instructions to use Coder-AN/InternLM-Chat-7B-History with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Coder-AN/InternLM-Chat-7B-History with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Coder-AN/InternLM-Chat-7B-History", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Coder-AN/InternLM-Chat-7B-History", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bac0d2791b65f8c425cfd1f981d6cec923fddeb2a7a07b663a958c04506f17e1
- Size of remote file:
- 1.66 MB
- SHA256:
- aab622d98c98677a1a51f969e25765154487bf3e85c7819db105db2fcacba83f
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