Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use dipudl/codeT5-DistilBERT-operator-precedence-bug-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/codeT5-DistilBERT-operator-precedence-bug-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/codeT5-DistilBERT-operator-precedence-bug-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/codeT5-DistilBERT-operator-precedence-bug-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/codeT5-DistilBERT-operator-precedence-bug-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dipudl/codeT5-DistilBERT-operator-precedence-bug-model: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
-
https://huggingface.co/dipudl/codeT5-DistilBERT-operator-precedence-bug-model/resolve/main/tokenizer.json
- Command line
-
hf download hf://dipudl/codeT5-DistilBERT-operator-precedence-bug-model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dipudl/codeT5-DistilBERT-operator-precedence-bug-model/resolve/main/tokenizer.json
792 kB
File too large to display, you can check the raw version instead.