Instructions to use dipudl/function-args-swap-bug-distilbert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/function-args-swap-bug-distilbert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/function-args-swap-bug-distilbert-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/function-args-swap-bug-distilbert-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/function-args-swap-bug-distilbert-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8da84a9023c8208e19a4b40aca5f1e4447302d0223baed5eeeb05dcd2922a69d
- Size of remote file:
- 268 MB
- SHA256:
- 227d5a4f796774b18203c3e15d79b41a37d4f0824a3134b55bd6cffd2744f6b6
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