Instructions to use Henry65/unixcoder-advtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Henry65/unixcoder-advtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Henry65/unixcoder-advtest")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Henry65/unixcoder-advtest") model = AutoModel.from_pretrained("Henry65/unixcoder-advtest") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d737e9338acfaef40d44ef2ed55144c025d8dc3411b4754d3653b297d038fcd
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size 503751192
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