Instructions to use dipudl/wrong-binary-operator-bug-distilbert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/wrong-binary-operator-bug-distilbert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/wrong-binary-operator-bug-distilbert-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/wrong-binary-operator-bug-distilbert-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/wrong-binary-operator-bug-distilbert-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dipudl/wrong-binary-operator-bug-distilbert-model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/dipudl/wrong-binary-operator-bug-distilbert-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dipudl/wrong-binary-operator-bug-distilbert-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dipudl/wrong-binary-operator-bug-distilbert-model/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 72ac7ed604d5f6ec6a4b390687b4c1464c2c49cbab0f28cf1f19f81e8c95eaa4
- Size of remote file:
- 268 MB
- SHA256:
- 6119f0c293035c3b938043e7ce69cbc51952c8688aa8c44775e2ada305b8f771
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.