Instructions to use intelcomp/nace2_level1_28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/nace2_level1_28 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/nace2_level1_28")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/nace2_level1_28") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/nace2_level1_28") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d8276b8e875310a649a68825c42319d614704a09ca84646310900f863199759
- Size of remote file:
- 2.48 kB
- SHA256:
- 0bb701c89f56d62eb53b8302216875aba9c0ac0651cd8d2451b6673ab54f3706
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