Instructions to use claudios/sptcode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/sptcode with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="claudios/sptcode")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("claudios/sptcode") model = AutoModel.from_pretrained("claudios/sptcode", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from claudios/sptcode: direct link, hf CLI and curl.
- Browser
- Download file 1.04 GB
-
https://huggingface.co/claudios/sptcode/resolve/main/model.safetensors
- Command line
-
hf download hf://claudios/sptcode/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/claudios/sptcode/resolve/main/model.safetensors
1.04 GB
- Xet hash:
- a0c9a4eda54ee897dc61de27cb6a49bf64b0cf4a8bfea66a60ab45c9d0ebe25f
- Size of remote file:
- 1.04 GB
- SHA256:
- 2331f1e67bf243f64b17d9bd1616d9506ae9c1e892c0e5709446ec59d741b86d
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