Instructions to use k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-selected 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-selected 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-selected") model = AutoModelForSeq2SeqLM.from_pretrained("k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-selected", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-selected: direct link, hf CLI and curl.
- Browser
- Download file 484 MB
-
https://huggingface.co/k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-selected/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-selected/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/k4black/Salesforce-codet5-small-CodeXGLUE-CONCODE-selected/resolve/main/last-checkpoint/optimizer.pt
484 MB
- Xet hash:
- 25e5b0a533089cb7832ca3e3c29d63b1e7852f5dcf408214c690dae5986b4c0b
- Size of remote file:
- 484 MB
- SHA256:
- 246710e3b852adb3c2d8a6c8a0c5b6ad7e9f2a9ac062df680895d6446dbfe8d5
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