Instructions to use code-world-model/llama7b_math_codegen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use code-world-model/llama7b_math_codegen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="code-world-model/llama7b_math_codegen")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("code-world-model/llama7b_math_codegen") model = AutoModel.from_pretrained("code-world-model/llama7b_math_codegen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from code-world-model/llama7b_math_codegen: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/code-world-model/llama7b_math_codegen/resolve/main/tokenizer.json
- Command line
-
hf download hf://code-world-model/llama7b_math_codegen/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/code-world-model/llama7b_math_codegen/resolve/main/tokenizer.json
1.84 MB
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