Instructions to use hf-internal-testing/tiny-random-MistralModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MistralModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MistralModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MistralModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MistralModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MistralModel: direct link, hf CLI and curl.
- Browser
- Download file 4.15 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MistralModel/resolve/refs%2Fpr%2F6/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MistralModel@refs/pr/6/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MistralModel/resolve/refs%2Fpr%2F6/model.safetensors
4.15 MB
- Xet hash:
- 995aeb6f5aa3eaecadfa5bdeda93c097279657958049f1a3ce621025a3ca1281
- Size of remote file:
- 4.15 MB
- SHA256:
- ee103b74d02b9a11828ad12aa4efe067fb0c0c9f8f67fd56ed6f667e305cc240
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