Instructions to use hf-internal-testing/tiny-random-MambaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MambaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MambaModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MambaModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MambaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MambaModel: direct link, hf CLI and curl.
- Browser
- Download file 173 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-MambaModel/resolve/refs%2Fpr%2F39/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MambaModel@refs/pr/39/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MambaModel/resolve/refs%2Fpr%2F39/model.safetensors
173 kB
- Xet hash:
- eb7fb1269e10a59e9992d27bd262860e44406be73418ad1d1dc7c8493e5a5448
- Size of remote file:
- 173 kB
- SHA256:
- 93d1973ff332d78ebdb54ee5dac27663511bf919108b6f114fe562ffcad44fcf
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