Instructions to use dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model/resolve/ba269ff0ded66769d89a07d4bf03b8bce9ca547f/pytorch_model.bin
- Command line
-
hf download hf://dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model@ba269ff0ded66769d89a07d4bf03b8bce9ca547f/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model/resolve/ba269ff0ded66769d89a07d4bf03b8bce9ca547f/pytorch_model.bin
268 MB
- Xet hash:
- 9d88539b0a86223a66759361ea5ab6b797087133f07942278ad41a1b2c012e76
- Size of remote file:
- 268 MB
- SHA256:
- b5733777b2ebd3763ffe9305963eed5f99ffa333582da8f43551cb564dc0a48f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.