Instructions to use azherali/python-code-search-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azherali/python-code-search-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("azherali/python-code-search-tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Tokenizer Card
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("azherali/python-code-search-tokenizer")
example = """class LinearLayer():
def __init__(self, input_size, output_size):
self.weight = torch.randn(input_size, output_size)
self.bias = torch.zeros(output_size)
def __call__(self, x):
return x @ self.weights + self.bias
"""
tokenizer.tokenize(example)
Inference Providers NEW
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