Instructions to use k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor") model = AutoModelForSeq2SeqLM.from_pretrained("k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-adafactor/resolve/refs%2Fpr%2F1/tokenizer.json
1.37 MB
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