Instructions to use selsar/nli-behavioral-groups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selsar/nli-behavioral-groups with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="selsar/nli-behavioral-groups")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("selsar/nli-behavioral-groups") model = AutoModelForSequenceClassification.from_pretrained("selsar/nli-behavioral-groups", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96ac542866e3d0b96b37128f3a76d1ce0e45860decde998e41c3ef3e58894da0
- Size of remote file:
- 16.3 MB
- SHA256:
- 824e7d82bc5560a30dcf36d84d4598ddcb0ca3c1b3fe38e698105f778bf89d3e
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