Instructions to use Godfrey2712/amf_illoc_force_intent_recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Godfrey2712/amf_illoc_force_intent_recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Godfrey2712/amf_illoc_force_intent_recognition")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Godfrey2712/amf_illoc_force_intent_recognition") model = AutoModelForSequenceClassification.from_pretrained("Godfrey2712/amf_illoc_force_intent_recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Godfrey2712/amf_illoc_force_intent_recognition: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
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https://huggingface.co/Godfrey2712/amf_illoc_force_intent_recognition/resolve/main/tokenizer.json
- Command line
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hf download hf://Godfrey2712/amf_illoc_force_intent_recognition/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Godfrey2712/amf_illoc_force_intent_recognition/resolve/main/tokenizer.json
2.11 MB
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