Instructions to use aieng-lab/roberta-large_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/roberta-large_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/roberta-large_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/roberta-large_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/roberta-large_commit-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dec89076b8c5c310eee9e7e278e1e26799d00c27aa1483e23f4308a07829efb
- Size of remote file:
- 711 MB
- SHA256:
- 4ea1c99f77955527a6ae99184ac44fc309e5188c49008ee134f78f657d02ea4e
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