Instructions to use intelcomp/nace2_level0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/nace2_level0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/nace2_level0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/nace2_level0") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/nace2_level0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 115191086ec6ebdcb36f4017d624bed6cf5769ab818856e10300b03c4f4a6700
- Size of remote file:
- 2.48 kB
- SHA256:
- d73543aa5084a4ad0602668eb3ca05008e8ca3a960941c767e96da96ae38fd8e
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