Instructions to use microsoft/unixcoder-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unixcoder-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="microsoft/unixcoder-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("microsoft/unixcoder-base") model = AutoModel.from_pretrained("microsoft/unixcoder-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#8 opened over 1 year ago
by
SFconvertbot
information on training data
#7 opened almost 2 years ago
by
josephykwang
Specificity of programming languages
#6 opened about 3 years ago
by
abhilash2001
Adding `safetensors` variant of this model
#5 opened about 3 years ago
by
SFconvertbot
add README
#2 opened over 3 years ago
by
loubnabnl