Instructions to use hf-internal-testing/tiny-random-Starcoder2Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Starcoder2Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-Starcoder2Model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-Starcoder2Model") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-Starcoder2Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-Starcoder2Model: direct link, hf CLI and curl.
- Browser
- Download file 180 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-Starcoder2Model/resolve/main/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Starcoder2Model/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-Starcoder2Model/resolve/main/model.safetensors
180 kB
- Xet hash:
- 4996280de3787617c5589e233d9bfb85722db14a764423d244a6db17b353a523
- Size of remote file:
- 180 kB
- SHA256:
- 356be68b744d803e03d6d487aaa206c01524f50c5dfefc30f15778aeece6f9d4
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