Instructions to use andy-yang/humaneval-rephraser-python-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andy-yang/humaneval-rephraser-python-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="andy-yang/humaneval-rephraser-python-7b")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("andy-yang/humaneval-rephraser-python-7b") model = AutoModel.from_pretrained("andy-yang/humaneval-rephraser-python-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from andy-yang/humaneval-rephraser-python-7b: direct link, hf CLI and curl.
- Browser
- Download file 500 kB
-
https://huggingface.co/andy-yang/humaneval-rephraser-python-7b/resolve/main/tokenizer.model
- Command line
-
hf download hf://andy-yang/humaneval-rephraser-python-7b/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/andy-yang/humaneval-rephraser-python-7b/resolve/main/tokenizer.model
500 kB
- Xet hash:
- b1153bfcbd4ec2d1636fdb764e096b2cd0db84c109f8e521f2ea20af59ef283a
- Size of remote file:
- 500 kB
- SHA256:
- 45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
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