Instructions to use hf-internal-testing/tiny-random-MraModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MraModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MraModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MraModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MraModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MraModel: direct link, hf CLI and curl.
- Browser
- Download file 160 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-MraModel/resolve/refs%2Fpr%2F21/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MraModel@refs/pr/21/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MraModel/resolve/refs%2Fpr%2F21/model.safetensors
160 kB
- Xet hash:
- af66a0f26d4ca344aa52f1f669aa359c5a843673768aca7ad8cab889caff61ea
- Size of remote file:
- 160 kB
- SHA256:
- b2ef57554c6e09ef0a688f0e1270a37ac242da4d63963eaf7de33309a55e0c1c
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