Instructions to use katuni4ka/tiny-random-internlm2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use katuni4ka/tiny-random-internlm2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="katuni4ka/tiny-random-internlm2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("katuni4ka/tiny-random-internlm2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21d6896f64206160032a355afc545917297adeddb044ccf5011a44db65d0c48f
- Size of remote file:
- 96.2 MB
- SHA256:
- 1973ae87cafbb84faf174d6420ab25baf06e9d7fee5409d7f323d8c04eea2449
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