Translation
Transformers
Safetensors
t5
text2text-generation
codet5
nl2cmd
text-generation-inference
Instructions to use diethylene/codet5-small-nl2cmd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diethylene/codet5-small-nl2cmd with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="diethylene/codet5-small-nl2cmd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("diethylene/codet5-small-nl2cmd") model = AutoModelForSeq2SeqLM.from_pretrained("diethylene/codet5-small-nl2cmd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from diethylene/codet5-small-nl2cmd: direct link, hf CLI and curl.
- Browser
- Download file 511 kB
-
https://huggingface.co/diethylene/codet5-small-nl2cmd/resolve/main/vocab.json
- Command line
-
hf download hf://diethylene/codet5-small-nl2cmd/vocab.json
-
curl -L -o vocab.json https://huggingface.co/diethylene/codet5-small-nl2cmd/resolve/main/vocab.json
511 kB
File too large to display, you can check the raw version instead.