Instructions to use Godfrey2712/intent_recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Godfrey2712/intent_recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Godfrey2712/intent_recognition")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Godfrey2712/intent_recognition") model = AutoModelForSequenceClassification.from_pretrained("Godfrey2712/intent_recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:23a270d0b1367ff1a779ce9a9872fb9d89552b676eef4a810e558d1d1f5d9c7b
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size 438036656
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